This documentation is meant to allow you to create Jamy Reports via API so you can connect Jamy to apps you use to record calls or meetings and generate Reports from those recordings.
\nCreate an API Key for your User. You can create and API Key from our web app by going to Settings > API Keys. You can also visit this link.
\nOnce you have an API Key you'll be able to create Reports using the Create Report request.
\nYou can also ask Questions to Jamy about one of your Reports using the Answer Question request.
\nAPI Key based Authorization. Create an API KEY for that user using the Create APIKey request.
\n","type":"text"}],"body":{"mode":"formdata","formdata":[{"key":"name","value":"","contentType":"string","description":"(string) Required.
\n","type":"text"},{"key":"participants","value":"","contentType":"email","description":"(list of emails) Required.
\n","type":"text"},{"key":"recording_file_url","value":"","contentType":"mp3, mp4, mpeg, mpga, m4a, wav, and webm.","description":"(mp3, mp4, mpeg, mpga, m4a, wav, and webm) Required. Recording URL where recording is stored. URL needs to be publicly accessible.
\n","type":"text"}]},"url":"https://api.jamy.ai/v1/meetings/","description":"POST request to create a meeting or call Report.
\n","urlObject":{"protocol":"https","path":["v1","meetings",""],"host":["api","jamy","ai"],"query":[],"variable":[]}},"response":[{"id":"62d44ed8-2722-43e2-8e72-1001e260d3d6","name":"Create Report","originalRequest":{"method":"POST","header":[{"key":"x-api-key","value":"{{api_key}}","description":"API Key based Authorization. Create an API KEY for that user using the Create APIKey request.","type":"text"}],"body":{"mode":"formdata","formdata":[{"key":"name","value":"Weekly Catch Up","type":"text","description":"(string) Required."},{"key":"participants","value":"test@gmail.com","type":"text","description":"(list of emails) Required."},{"key":"recording_file_url","value":"https://test.s3.amazonaws.com/static/https%3A/gravitiaisupport.s3.amazonaws.com/{meeting_bot_id}/meetings/{meeting_id}/embeddings/file.mp3","type":"text","description":"(mp3, mp4, mpeg, mpga, m4a, wav, and webm) Required. Recording URL where recording is stored. URL needs to be publicly accessible."}]},"url":"https://api.jamy.ai/v1/meetings/"},"code":201,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 23 Mar 2023 16:24:01 GMT"},{"key":"Server","value":"WSGIServer/0.2 CPython/3.10.8"},{"key":"Content-Type","value":"application/json"},{"key":"Vary","value":"Accept, Origin"},{"key":"Allow","value":"GET, POST, HEAD, OPTIONS"},{"key":"X-Frame-Options","value":"DENY"},{"key":"Content-Length","value":"2369"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Referrer-Policy","value":"same-origin"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"}],"cookie":[],"responseTime":null,"body":"{\n \"id\": \"string\",\n \"url\": \"string\",\n \"organizer\": \"string\",\n \"name\": \"string\",\n \"start_time\": \"string in UTC\",\n \"duration\": null,\n \"created_date\": \"string\",\n \"meeting_bot_id\": \"string\",\n \"recall_bot_id\": \"\",\n \"recall_meeting_id\": \"\",\n \"platform\": \"string\",\n \"invite_link\": null,\n \"organization\": \"string\",\n \"status\": \"processing\",\n \"folder\": null,\n \"call\": null,\n \"participants\": [],\n \"recipients\": [\n {\n \"first_name\": \"\",\n \"last_name\": \"\",\n \"email\": \"\"\n }\n ],\n \"meeting_file\": null,\n \"transcript\": null,\n \"transcript_with_speaker_labels\":null,\n \"transcript_segments\": null,\n \"template\": null,\n \"report\": [],\n \"summary\": null,\n \"tasks\": null,\n \"topics\": null\n}"}],"_postman_id":"8e3c0e97-b2b8-4786-b451-6febeb574a50"},{"name":"Get All Reports","id":"c28ab95b-4bcf-45c7-bc5d-67c832b6f96b","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[{"key":"Authorization","value":"Token {{token}}","type":"text"}],"url":"https://api.jamy.ai/v1/meetings/","urlObject":{"protocol":"https","path":["v1","meetings",""],"host":["api","jamy","ai"],"query":[],"variable":[]}},"response":[{"id":"9ba27b12-f59f-4b5b-ae91-abe6893e2fb5","name":"Get All Reports","originalRequest":{"method":"GET","header":[{"key":"x-api-key","value":"{{api_key}}","description":"API Key based Authorization. Create an API KEY for that user using the Create APIKey request.","type":"text"}],"url":"https://api.jamy.ai/v1/meetings/"},"code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 23 Mar 2023 20:44:50 GMT"},{"key":"Server","value":"WSGIServer/0.2 CPython/3.10.8"},{"key":"Content-Type","value":"application/json","description":"","type":"text"},{"key":"Vary","value":"Accept, Origin"},{"key":"Allow","value":"GET, PUT, PATCH, DELETE, HEAD, OPTIONS"},{"key":"X-Frame-Options","value":"DENY"},{"key":"Content-Length","value":"2384"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Referrer-Policy","value":"same-origin"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"}],"cookie":[],"responseTime":null,"body":"{\n \"count\": 1,\n \"next\": null,\n \"previous\": null,\n \"results\": [\n {\n \"id\": \"24419e9d-ec49-4828-a7ec-944349f7c1a8\",\n \"url\": \"https://app.jamy.ai/meetings/details/24419e9d-ec49-4828-a7ec-944349f7c1a8\",\n \"organizer\": \"string\",\n \"name\": \"Jamy <> Koltin\",\n \"start_time\": \"2025-04-02T13:00:00-06:00\",\n \"duration\": \"18\",\n \"created_date\": \"2025-04-02T13:18:52.959870-06:00\",\n \"meeting_bot_id\": \"string\",\n \"recall_bot_id\": \"string\",\n \"recall_meeting_id\": \"string\",\n \"platform\": \"google_meet\",\n \"invite_link\": null,\n \"organization\": \"string\",\n \"pricing_plan\": {\n \"id\": \"89957d87-cb82-4bf0-b80c-846ae806a06a\",\n \"organization\": \"a04e475f-64d5-4db7-a6bc-1251a46b0b08\",\n \"product_name\": \"Premium\",\n \"product_id\": \"prod_Qh27wDtOVJbXqB\",\n \"subscription_id\": \"sub_1PEF4GEsHvOxhmS5eYTiaJBn\",\n \"price_id\": \"price_1Ppe3MEsHvOxhmS5I3HXxWuP\",\n \"customer_id\": \"cus_Q4NpVK5pj6eKp0\",\n \"flat_rate\": 39,\n \"usage_rate\": 0,\n \"add_on\": [\n {\n \"id\": \"cdd20700-6ab7-4602-be07-31c7025f964e\",\n \"product_name\": \"Pay-per-minute\",\n \"product_id\": \"prod_OlZSQeakjavHVG\",\n \"subscription_id\": \"sub_1QuFhCEsHvOxhmS5VqaN4U7w\",\n \"price_id\": \"price_1Ny2JIEsHvOxhmS5rWT5osYh\",\n \"flat_rate\": 0,\n \"usage_rate\": 0.05,\n \"created_date\": \"2025-02-19T10:00:25.667737-06:00\"\n }\n ],\n \"created_date\": \"2024-09-24T11:38:37.710140-06:00\"\n },\n \"status\": \"sent\",\n \"folder\": null,\n \"call\": null,\n \"participants\": [\n \"yusef@jamy.ai\"\n ],\n \"recipients\": [\n {\n \"email\": \"yusef@jamy.ai\",\n \"last_name\": \"Jacobs\",\n \"first_name\": \"Yusef\"\n }\n ],\n \"meeting_file\": \"https://jamy.s3.amazonaws.com/22d8067e-90b5-4b44-8c46-5485a41cd410/meetings/24419e9d-ec49-4828-a7ec-944349f7c1a8/meeting_file.mp4\",\n \"transcript\": \"https://jamy.s3.amazonaws.com/22d8067e-90b5-4b44-8c46-5485a41cd410/meetings/24419e9d-ec49-4828-a7ec-944349f7c1a8/transcript.pdf\",\n \"transcript_segments\": [\n {\n \"avg_logprob\": -0.09765624727767247,\n \"end\": \"59.79\",\n \"speaker\": \"Yusef Jacobs\",\n \"start\": \"1.01\",\n \"text\": \"Adriana. Hola, ¿qué tal? Yusef, un gusto. Igualmente, ¿cómo estás? Bien, bien. Qué bueno, qué bueno. ¿Esperamos a alguien más de su lado? No. Va, buenísimo. Creo que Edu no les dio tanto contexto, ¿verdad? ¿O sí tienen un poco de contexto de la herramienta? Más o menos. Lo que pudimos ver desde tu landing. Ah, ya. Buenísimo. Buenísimo. Entonces, digo, no sé si de ahí tienen alguna pregunta que quieran ir haciendo de una vez. Les puedo hacer un demo también de lo que tenemos. Y también les puedo enseñar el feature que yo le platiqué a Edu, que creo que fue el que más le interesó, fue el de llamadas telefónicas, que permite hacer llamadas telefónicas desde Jamy y generar reportes de las llamadas con la grabación y demás. Y ahorita también les puedo enseñar un poco cómo funciona. Pero no sé si de lo que vieron tienen alguna... 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Entonces, por ejemplo, esta es una llamada que yo tuve con un cliente potencial que son reclutadores. Así usan Jamy para sus llamadas de screening con candidatos. Entonces, este es el reporte que generó Jamy. Como pueden ver, tiene varios como componentes. El reporte tiene un resumen, tienen un formulario específico que yo agregué como para analizar retos de empresas de reclutamiento. Este yo lo agregué manual. Ahorita les enseño cómo crear sus propios como componentes y templates. Entonces, Jamy llena las respuestas. Tiene una sección de temas principales y la sección de tareas que se tienen que hacer. Las tareas... Las tareas las asigna automáticamente a la persona que las tiene que hacer y ustedes también pueden integrar la funcionalidad de tareas con alguna herramienta que usen como un CRM, por ejemplo. Para los temas y las tareas pueden tener un detalle específico de cuál es el tema tal cual, de dónde sacó Jamy, qué es ser un tema específico, qué punto del video y quotes. Lo mismo con tareas, por ejemplo, para que sepan bien de qué se trata la tarea. Y lo mismo. Lo mismo con las respuestas que llena de un formulario personalizado que ustedes pueden crear. Todo esto lo pueden editar y después lo pueden mandar por correo, por Slack. También tenemos integraciones. Obvio, pueden ver el video y el transcript Word for the World. Entonces, pueden ir trackeando qué es lo que dijo cada quien. Y pueden descargar el transcript si quisieran también. Y algo que también les ofrecemos es que haz de cuenta que tenemos un chat que es como un chat GPT entrenado. Con el contenido de la llamada. Entonces, en este chat ustedes le pueden hacer cualquier pregunta a Jamy sobre la llamada y les va a contestar con la información de lo que se dijo. Esa funcionalidad de chat también la pueden tener en Slack. Entonces, pueden integrar Jamy con Slack. Es como instalar una app en Slack. Y una vez que mandan reportes como este que les enseñé a Slack, pueden hacerle preguntas a Jamy ahí y les contesta en un hilo como si fuera otra persona de su equipo. Ya si quieren hacer como reportes un poco más. Y después de haber avanzado, después de que se haya creado el reporte, si les hizo falta algo, pueden crear un componente adicional. Entonces, no sé si quieren, además de las preguntas de análisis de retros del reclutamiento, pueden agregar preguntas de Customer Discovery. Por ejemplo, Jamy llena las respuestas a esas preguntas de forma automática. Ahorita les enseño cómo crear estos templates personalizados para que se ajusten a sus necesidades. 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Ya. Sí, entiendo a lo que te refieres. Hay algo similar que ahorita se puede hacer, no tan general de todas las llamadas, pero puedes hacer, puedes crear folders de llamadas, o sea, como folders para organizar tus llamadas. Yo aquí tengo algunos ejemplos. Digamos, creas un folder de finanzas, por ejemplo. Y tienes un chat que está entre. Entonces, le podrías hacer preguntas como esa que acabas de decir a todas las, o sea, con respecto a todas las llamadas que estén dentro de ese folder. Entonces, sí lo puedes hacer por folder y ahí puedes agrupar todas las, los reportes que tú quieras. 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Y en cuanto a video, en cuanto a llamadas telefónicas, este, ven, este reporte que les acabo de enseñar fue una videollamada, ¿no? Pueden tener reportes igualitos a ese, pero de llamadas telefónicas que hagan ustedes desde Jamy, las pueden hacer desde Jamy, o de llamadas telefónicas que hayan hecho, por ejemplo, en Aircall y que nos pasen por API. Nosotros les generamos un reporte como el que les acabo de enseñar, ¿va? Y por último, les enseño, les platico. Un poco lo de los templates personalizados. Entonces, ustedes pueden crear como justo plantillas de llamadas, dependiendo cada una de las necesidades que tienen. Las plantillas están hechas de componentes. Haz de cuenta que la sección de Summary, la sección de Discovery Call, son componentes que yo creo. Entonces, por ejemplo, vamos a entrar a ese de preguntas de reclutamiento. Aquí está. Entonces, estas son las preguntas que yo definí, que yo hago en una llamada cuando estoy analizando a un potencial cliente de reclutamiento. Todas estas, en realidad, no las hice yo. Puedes crear un componente simplemente describiendo lo que quieres a Jamy. Entonces, yo le digo aquí como, quiero un componente, un formulario para una llamada de un cliente que es reclutador y está analizando usar Jamy, bla, bla, bla. Y Jamy me genera justamente un componente con el que les acabo de enseñar, ¿no? Entonces, te genera esto. Y básicamente, después lo que haces es que ya que tienes tus componentes, los que tú quieres, los agregas a un template. Entonces, por ejemplo, podemos, yo les voy a enseñar aquí un template de Customer Discovery, ¿no? En el template de Customer Discovery, las secciones que quiero son Summary, Preguntas de Discovery y Tasks and Topics. Entonces, ustedes pueden ir creando sus componentes con ayuda de Jamy. No tienen que escribir nada a mano. Y después los agrupan en un template y así tienen como plantillas personalizadas que Jamy va a generar contenido para cada uno de esos componentes, según lo que ustedes hayan definido. Entonces, así pueden tener reportes que se adaptan exactamente a lo que ustedes necesitan, dependiendo el tipo de llamadas que tengan, ¿no? Y listo. Bueno, además de todo esto que les enseñé y lo que ya platicamos del API, que ustedes pueden generar reportes por API, también pueden hacerlo al revés, ¿no? Entonces, nosotros tenemos también una funcionalidad de Webhooks en donde si genero un reporte, después se los puedo mandar a donde ustedes quieran, ¿no? Tal vez les puedo mandar el reporte a un... A un CRM para que ustedes llenen la información o a alguna plataforma para que tengan toda la información que el reporte generó. Entonces, también lo podemos hacer de los dos lados. Y listo. Eso es un poco la plataforma. 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O sea, la gente que lo está usando, ¿para qué lo aplica?\",\n \"words\": [\n {\n \"end\": 680.97,\n \"probability\": 0.51513671875,\n \"start\": 680.49,\n \"word\": \"Ok.\"\n },\n {\n \"end\": 681.57,\n \"probability\": 0.933349609375,\n \"start\": 681.13,\n \"word\": \"Oye,\"\n },\n {\n \"end\": 681.81,\n \"probability\": 0.9130859375,\n \"start\": 681.57,\n \"word\": \"y\"\n },\n {\n \"end\": 682.85,\n \"probability\": 0.94189453125,\n \"start\": 681.81,\n \"word\": \"por\"\n },\n {\n \"end\": 683.62,\n \"probability\": 0.76953125,\n \"start\": 683.2,\n \"word\": \"pura\"\n },\n {\n \"end\": 684.58,\n \"probability\": 0.989013671875,\n \"start\": 683.62,\n \"word\": \"interés,\"\n },\n {\n \"end\": 685.38,\n \"probability\": 0.935791015625,\n \"start\": 684.6,\n \"word\": \"¿qué\"\n },\n {\n \"end\": 685.76,\n \"probability\": 0.7431640625,\n \"start\": 685.38,\n \"word\": \"casos\"\n },\n {\n \"end\": 686,\n \"probability\": 0.9990234375,\n \"start\": 685.76,\n \"word\": \"de\"\n },\n {\n \"end\": 686.24,\n \"probability\": 0.9853515625,\n \"start\": 686,\n \"word\": \"uso\"\n },\n {\n \"end\": 686.82,\n \"probability\": 0.99072265625,\n \"start\": 686.24,\n \"word\": \"tienen\"\n },\n {\n \"end\": 687.16,\n \"probability\": 0.9638671875,\n \"start\": 686.82,\n \"word\": \"tus\"\n },\n {\n \"end\": 687.62,\n \"probability\": 1,\n \"start\": 687.16,\n \"word\": \"clientes\"\n },\n {\n \"end\": 687.9,\n \"probability\": 0.99169921875,\n \"start\": 687.62,\n \"word\": \"hoy?\"\n },\n {\n \"end\": 688.34,\n \"probability\": 0.57666015625,\n \"start\": 688.1,\n \"word\": \"O\"\n },\n {\n \"end\": 688.34,\n \"probability\": 0.998046875,\n \"start\": 688.34,\n \"word\": \"sea,\"\n },\n {\n \"end\": 688.44,\n \"probability\": 0.849609375,\n \"start\": 688.34,\n \"word\": \"la\"\n },\n {\n \"end\": 688.64,\n \"probability\": 1,\n \"start\": 688.44,\n \"word\": \"gente\"\n },\n {\n \"end\": 689.14,\n \"probability\": 0.990234375,\n \"start\": 688.64,\n \"word\": \"que\"\n },\n {\n \"end\": 689.2,\n \"probability\": 0.96484375,\n \"start\": 689.14,\n \"word\": \"lo\"\n },\n {\n \"end\": 689.32,\n \"probability\": 0.99365234375,\n \"start\": 689.2,\n \"word\": \"está\"\n },\n {\n \"end\": 689.46,\n \"probability\": 0.72509765625,\n \"start\": 689.32,\n \"word\": \"usando,\"\n },\n {\n \"end\": 689.66,\n \"probability\": 0.99951171875,\n \"start\": 689.56,\n \"word\": \"¿para\"\n },\n {\n \"end\": 689.8,\n \"probability\": 0.99951171875,\n \"start\": 689.66,\n \"word\": \"qué\"\n },\n {\n \"end\": 689.9,\n \"probability\": 0.99951171875,\n \"start\": 689.8,\n \"word\": \"lo\"\n },\n {\n \"end\": 690.2,\n \"probability\": 0.980712890625,\n \"start\": 689.9,\n \"word\": \"aplica?\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.1372916625936826,\n \"end\": \"823.26\",\n \"speaker\": \"Flor De Anda\",\n \"start\": \"690.46\",\n \"text\": \"Sí. Entonces, la verdad es que los más, digo, hay de todo, pero los más comunes son para equipos de ventas y para equipos de reclutamiento. Entonces, son los que más llamadas tienen todo el tiempo. Muy común que ventas y reclutamiento tengan muchas llamadas. Entonces, los de ventas lo usan mucho para justo estar analizando. Haciendo llamadas con clientes y recopilar la información de sus clientes, llenarla automáticamente de sus CRM, pero también mandar los reportes a los clientes para hacer follow up más específico y que el cliente tenga toda la información de forma automática. Los reclutadores lo usan mucho para llamadas de screening. Entonces, para que el reclutador no tenga que estar todo el tiempo llenando la información del candidato en un ATS, en un tracker de aplicantes, simplemente hace las preguntas de reclutamiento y se llenan automáticamente. En el ATS, algo que no les enseñé, pero que también lo usan mucho, por ejemplo, los vendedores y los reclutadores, es que además de poder crear componentes estos que les enseñé, que son formularios como pregunta y respuesta, puedes crear componentes que generen texto de acuerdo a unas instrucciones. Entonces, por ejemplo, algo que usan mucho los reclutadores es generan un componente que es evaluación del nivel de un candidato. Entonces, tú le puedes decir a Jamy como tomando en cuenta lo que se dijo en la llamada. Entonces, tú le puedes decir a Jamy como tomando en cuenta lo que se dijo en la llamada. Y las respuestas del candidato, dime cuál es el nivel del candidato, junior, senior, mediano, tomando en cuenta, no sé, los estándares de la industria y ciertos criterios que yo le digo. Entonces, Jamy automáticamente te genera como, pues este candidato es junior. Entonces, le llena, o sea, puedes generar como evaluaciones, puedes generar también, por ejemplo, algo que usan mucho los vendedores, es que generan una, como un score de la llamada. Para entender qué tan probable es que el cliente vaya a comprar el producto, ¿no? Entonces, tomando en cuenta lo que dijo el cliente, ¿sabes? Y puedes generar eso en automático, que normalmente son cosas que tienes que llenar en un, en tu CRM o en el caso de los reclutadores en una TS y aquí te lo genera solo. 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Este, ¿le puedes agregar como que ciertos criterios de prioriza si dicen esto, este, quítale puntos si dicen esto? ¿Sí se puede?\",\n \"words\": [\n {\n \"end\": 824.91,\n \"probability\": 0.7529296875,\n \"start\": 824.51,\n \"word\": \"Ok,\"\n },\n {\n \"end\": 825.15,\n \"probability\": 0.9326171875,\n \"start\": 824.97,\n \"word\": \"para\"\n },\n {\n \"end\": 825.29,\n \"probability\": 0.99169921875,\n \"start\": 825.15,\n \"word\": \"ese\"\n },\n {\n \"end\": 825.49,\n \"probability\": 1,\n \"start\": 825.29,\n \"word\": \"tipo\"\n },\n {\n \"end\": 825.63,\n \"probability\": 1,\n \"start\": 825.49,\n \"word\": \"de\"\n },\n {\n \"end\": 825.75,\n \"probability\": 1,\n \"start\": 825.63,\n \"word\": \"cosas\"\n },\n {\n \"end\": 825.93,\n \"probability\": 1,\n \"start\": 825.75,\n \"word\": \"que\"\n },\n {\n \"end\": 826.55,\n \"probability\": 0.999755859375,\n \"start\": 825.93,\n \"word\": \"comentas,\"\n },\n {\n \"end\": 827.31,\n \"probability\": 0.92919921875,\n \"start\": 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1,\n \"start\": 840.35,\n \"word\": \"a\"\n },\n {\n \"end\": 840.79,\n \"probability\": 1,\n \"start\": 840.43,\n \"word\": \"compartir\"\n },\n {\n \"end\": 841.05,\n \"probability\": 0.99951171875,\n \"start\": 840.79,\n \"word\": \"pantalla\"\n },\n {\n \"end\": 841.27,\n \"probability\": 1,\n \"start\": 841.05,\n \"word\": \"otra\"\n },\n {\n \"end\": 841.51,\n \"probability\": 1,\n \"start\": 841.27,\n \"word\": \"vez.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.11576140772492166,\n \"end\": \"935.73\",\n \"speaker\": \"Yusef Jacobs\",\n \"start\": \"844.96\",\n \"text\": \"Entonces, tú puedes definir, esa es la, como la gran flexibilidad de lo que da nuestra funcionalidad de report creator. Tú puedes definir tal cual lo que quieres que Jamy genere. Entonces, para estos que les platicaba son reportes tipo generation en vez de form. Entonces, para un reporte tipo generation, tú puedes darle a Jamy instrucciones. Entonces, no sé, le puedes decir un poco, digo, también lo podrías crear automáticamente aquí, pero vamos a hacerlo manual para que vean cómo funciona. Entonces, este, no sé, tomando, tomando en cuenta el nivel de inglés del candidato, dame un score del 1 al 10. No sé, este es algo muy sencillo, muy, muy tonto. Pero podrías decirlo. Es decir, este, toma en cuentas y usa, este, palabras, palabras técnicas en inglés para quitar o agregar puntos. No sé, estoy agregando cualquier cosa que se me está ocurriendo, pero para que se haya una idea de, tú puedes darle como las instrucciones que quieras. Entonces, eso que estás diciendo, Flor, podrías decir como, si dijeron esto, quita puntos. Si dijeron esto otro, agrega puntos. Este. Evalúa el score tomando en cuenta estos criterios. Entonces, todo lo agregas como instrucciones. 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Pueden hacerlo manual como yo lo hice o con la funcionalidad esta de aquí de Generate Components, solo describen lo que quieren, más o menos lo que están buscando. Y les va a generar algo Jamy para que no emprecien desde cero y ya después pueden editarlo para ajustarlo. O tal cual a lo que ustedes busquen.\",\n \"words\": [\n {\n \"end\": 940.12,\n \"probability\": 0.9990234375,\n \"start\": 939.66,\n \"word\": \"Y\"\n },\n {\n \"end\": 940.36,\n \"probability\": 0.998046875,\n \"start\": 940.12,\n \"word\": \"así,\"\n },\n {\n \"end\": 940.54,\n \"probability\": 0.99951171875,\n \"start\": 940.4,\n \"word\": \"pues,\"\n },\n {\n \"end\": 940.8,\n \"probability\": 1,\n \"start\": 940.56,\n \"word\": \"ustedes\"\n },\n {\n \"end\": 941.12,\n \"probability\": 1,\n \"start\": 940.8,\n \"word\": \"pueden\"\n },\n {\n \"end\": 941.64,\n \"probability\": 0.998779296875,\n \"start\": 941.12,\n \"word\": \"generar,\"\n },\n {\n \"end\": 942.28,\n \"probability\": 0.83984375,\n \"start\": 941.64,\n \"word\": \"literar\"\n },\n {\n \"end\": 942.38,\n \"probability\": 0.97314453125,\n \"start\": 942.28,\n \"word\": \"lo\"\n },\n {\n \"end\": 942.52,\n \"probability\": 1,\n \"start\": 942.38,\n \"word\": \"que\"\n },\n {\n \"end\": 942.88,\n \"probability\": 1,\n 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Yo, para mí, claro, yo creo que, o sea, me gustaría a mí darle un vistazo, probarlo y eso. Entonces, ahí me vas a estar viendo, abriendo mi cuenta, Joseph. Creo que Adri también.\",\n \"words\": [\n {\n \"end\": 962.88,\n \"probability\": 0.9690755208333334,\n \"start\": 962.52,\n \"word\": \"Buenísimo.\"\n },\n {\n \"end\": 963.92,\n \"probability\": 0.90625,\n \"start\": 963.56,\n \"word\": \"Yo,\"\n },\n {\n \"end\": 964.14,\n \"probability\": 0.9990234375,\n \"start\": 963.96,\n \"word\": \"para\"\n },\n {\n \"end\": 964.32,\n \"probability\": 0.99951171875,\n \"start\": 964.14,\n \"word\": \"mí,\"\n },\n {\n \"end\": 964.62,\n \"probability\": 0.9990234375,\n \"start\": 964.34,\n \"word\": \"claro,\"\n },\n {\n \"end\": 964.8,\n \"probability\": 1,\n \"start\": 964.7,\n \"word\": \"yo\"\n },\n {\n \"end\": 964.96,\n \"probability\": 1,\n \"start\": 964.8,\n \"word\": \"creo\"\n },\n {\n \"end\": 965.14,\n \"probability\": 1,\n \"start\": 964.96,\n \"word\": \"que,\"\n },\n {\n \"end\": 966.22,\n \"probability\": 0.99951171875,\n \"start\": 965.22,\n \"word\": \"o\"\n },\n {\n \"end\": 967.61,\n \"probability\": 1,\n \"start\": 967.47,\n \"word\": \"sea,\"\n },\n {\n \"end\": 967.71,\n \"probability\": 1,\n \"start\": 967.63,\n \"word\": \"me\"\n },\n {\n \"end\": 967.95,\n \"probability\": 1,\n \"start\": 967.71,\n \"word\": \"gustaría\"\n },\n {\n \"end\": 968.15,\n \"probability\": 1,\n \"start\": 967.95,\n \"word\": \"a\"\n },\n {\n \"end\": 968.27,\n \"probability\": 1,\n \"start\": 968.15,\n \"word\": \"mí\"\n },\n {\n \"end\": 969.03,\n \"probability\": 0.9970703125,\n \"start\": 968.27,\n \"word\": \"darle\"\n },\n {\n \"end\": 969.17,\n \"probability\": 1,\n \"start\": 969.03,\n \"word\": \"un\"\n },\n {\n \"end\": 969.57,\n \"probability\": 1,\n \"start\": 969.17,\n \"word\": \"vistazo,\"\n },\n {\n \"end\": 970.27,\n \"probability\": 1,\n \"start\": 969.61,\n \"word\": \"probarlo\"\n },\n {\n \"end\": 970.85,\n \"probability\": 0.63232421875,\n \"start\": 970.27,\n \"word\": \"y\"\n },\n {\n \"end\": 971.03,\n \"probability\": 0.9970703125,\n \"start\": 970.85,\n \"word\": \"eso.\"\n },\n {\n \"end\": 971.41,\n \"probability\": 0.99609375,\n \"start\": 971.09,\n \"word\": \"Entonces,\"\n },\n {\n \"end\": 971.81,\n \"probability\": 0.91943359375,\n \"start\": 971.41,\n \"word\": \"ahí\"\n },\n {\n \"end\": 971.95,\n \"probability\": 1,\n \"start\": 971.81,\n \"word\": \"me\"\n },\n {\n \"end\": 972.09,\n \"probability\": 0.97119140625,\n \"start\": 971.95,\n \"word\": \"vas\"\n },\n {\n \"end\": 972.17,\n \"probability\": 1,\n \"start\": 972.09,\n \"word\": \"a\"\n },\n {\n \"end\": 972.37,\n \"probability\": 1,\n \"start\": 972.17,\n \"word\": \"estar\"\n },\n {\n \"end\": 972.57,\n \"probability\": 0.81201171875,\n \"start\": 972.37,\n \"word\": \"viendo,\"\n },\n {\n \"end\": 973.77,\n \"probability\": 0.9996744791666666,\n \"start\": 972.71,\n \"word\": \"abriendo\"\n },\n {\n \"end\": 973.93,\n \"probability\": 1,\n \"start\": 973.77,\n \"word\": \"mi\"\n },\n {\n \"end\": 974.27,\n \"probability\": 1,\n \"start\": 973.93,\n \"word\": \"cuenta,\"\n },\n {\n \"end\": 974.69,\n \"probability\": 0.446044921875,\n \"start\": 974.45,\n \"word\": \"Joseph.\"\n },\n {\n \"end\": 975.85,\n \"probability\": 0.9970703125,\n \"start\": 975.49,\n \"word\": \"Creo\"\n },\n {\n \"end\": 976.01,\n \"probability\": 1,\n \"start\": 975.85,\n \"word\": \"que\"\n },\n {\n \"end\": 976.19,\n \"probability\": 0.89794921875,\n \"start\": 976.01,\n \"word\": \"Adri\"\n },\n {\n \"end\": 976.37,\n \"probability\": 0.96875,\n \"start\": 976.19,\n \"word\": \"también.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.19143356309904086,\n \"end\": \"998.62\",\n \"speaker\": \"Yusef Jacobs\",\n \"start\": \"979.02\",\n \"text\": \"Buenísimo. Pues, también después de esta llamada, pues, se va a generar un reporte y les va a llegar por correo y pueden acceder al reporte sin crear una cuenta, porque ustedes están invitadas a esta llamada. Y ahí pueden jugar un poco. Con el reporte para hacer preguntas y demás. Y, digo, igual pueden crear su cuenta ya para conectar su propio asistente.\",\n \"words\": [\n {\n \"end\": 979.38,\n \"probability\": 0.83447265625,\n \"start\": 979.02,\n \"word\": \"Buenísimo.\"\n },\n {\n \"end\": 980.1,\n \"probability\": 0.98486328125,\n \"start\": 979.74,\n \"word\": \"Pues,\"\n },\n {\n \"end\": 981.06,\n \"probability\": 0.9990234375,\n \"start\": 980.16,\n \"word\": \"también\"\n },\n {\n \"end\": 981.5,\n \"probability\": 0.99951171875,\n \"start\": 981.06,\n \"word\": \"después\"\n },\n {\n \"end\": 981.74,\n \"probability\": 1,\n \"start\": 981.5,\n \"word\": \"de\"\n },\n {\n \"end\": 981.84,\n \"probability\": 1,\n \"start\": 981.74,\n \"word\": \"esta\"\n },\n {\n \"end\": 982.34,\n \"probability\": 1,\n \"start\": 981.84,\n \"word\": \"llamada,\"\n },\n {\n \"end\": 982.5,\n \"probability\": 0.9931640625,\n \"start\": 982.34,\n \"word\": \"pues,\"\n },\n {\n \"end\": 982.64,\n \"probability\": 1,\n \"start\": 982.54,\n \"word\": \"se\"\n },\n {\n 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Cualquier duda que tengan, ahí estoy por correo. Y si quieren, sí, en una semanita les mando un correo por si quieren dar, para hacer follow up y vemos siguientes pasos.\",\n \"words\": [\n {\n \"end\": 1035.22,\n \"probability\": 0.9934895833333334,\n \"start\": 1034.66,\n \"word\": \"Buenísimo.\"\n },\n {\n \"end\": 1035.82,\n \"probability\": 0.9998372395833334,\n \"start\": 1035.26,\n \"word\": \"Cualquier\"\n },\n {\n \"end\": 1036.02,\n \"probability\": 1,\n \"start\": 1035.82,\n \"word\": \"duda\"\n },\n {\n \"end\": 1036.2,\n \"probability\": 1,\n \"start\": 1036.02,\n \"word\": \"que\"\n },\n {\n \"end\": 1036.54,\n \"probability\": 1,\n \"start\": 1036.2,\n \"word\": \"tengan,\"\n },\n {\n \"end\": 1037.18,\n \"probability\": 0.98779296875,\n \"start\": 1036.76,\n \"word\": \"ahí\"\n },\n {\n \"end\": 1037.36,\n \"probability\": 0.98193359375,\n \"start\": 1037.18,\n \"word\": \"estoy\"\n },\n {\n \"end\": 1038.24,\n \"probability\": 0.99169921875,\n \"start\": 1037.36,\n \"word\": \"por\"\n },\n {\n \"end\": 1038.86,\n \"probability\": 1,\n \"start\": 1038.24,\n \"word\": \"correo.\"\n },\n {\n \"end\": 1040.24,\n \"probability\": 0.99951171875,\n \"start\": 1039.68,\n \"word\": \"Y\"\n },\n {\n \"end\": 1040.52,\n \"probability\": 0.9892578125,\n \"start\": 1040.24,\n \"word\": \"si\"\n },\n {\n \"end\": 1040.78,\n \"probability\": 0.99951171875,\n \"start\": 1040.52,\n \"word\": \"quieren,\"\n },\n {\n \"end\": 1040.98,\n \"probability\": 0.8876953125,\n \"start\": 1040.82,\n \"word\": \"sí,\"\n },\n {\n \"end\": 1041.1,\n \"probability\": 1,\n \"start\": 1040.98,\n \"word\": \"en\"\n },\n {\n \"end\": 1041.2,\n \"probability\": 1,\n \"start\": 1041.1,\n \"word\": \"una\"\n },\n {\n \"end\": 1041.7,\n \"probability\": 1,\n \"start\": 1041.2,\n \"word\": \"semanita\"\n },\n {\n \"end\": 1041.84,\n \"probability\": 0.99951171875,\n \"start\": 1041.7,\n \"word\": \"les\"\n },\n {\n \"end\": 1042.1,\n \"probability\": 1,\n \"start\": 1041.84,\n \"word\": \"mando\"\n },\n {\n \"end\": 1042.18,\n \"probability\": 1,\n \"start\": 1042.1,\n \"word\": \"un\"\n },\n {\n \"end\": 1042.5,\n \"probability\": 1,\n \"start\": 1042.18,\n \"word\": \"correo\"\n },\n {\n \"end\": 1042.62,\n \"probability\": 0.974609375,\n \"start\": 1042.5,\n \"word\": \"por\"\n },\n {\n \"end\": 1042.76,\n \"probability\": 1,\n \"start\": 1042.62,\n \"word\": \"si\"\n },\n {\n \"end\": 1042.96,\n \"probability\": 1,\n \"start\": 1042.76,\n \"word\": \"quieren\"\n },\n {\n \"end\": 1043.22,\n \"probability\": 0.9970703125,\n \"start\": 1042.96,\n \"word\": \"dar,\"\n },\n {\n \"end\": 1044.02,\n \"probability\": 0.9990234375,\n \"start\": 1043.34,\n \"word\": \"para\"\n },\n {\n \"end\": 1044.22,\n \"probability\": 0.9990234375,\n \"start\": 1044.02,\n \"word\": \"hacer\"\n },\n {\n \"end\": 1044.5,\n \"probability\": 0.99951171875,\n \"start\": 1044.22,\n \"word\": \"follow\"\n },\n {\n \"end\": 1044.7,\n \"probability\": 0.78759765625,\n \"start\": 1044.5,\n \"word\": \"up\"\n },\n {\n \"end\": 1045.02,\n \"probability\": 0.97265625,\n \"start\": 1044.7,\n \"word\": \"y\"\n },\n {\n \"end\": 1046.1,\n \"probability\": 0.91650390625,\n \"start\": 1045.02,\n \"word\": \"vemos\"\n },\n {\n \"end\": 1046.54,\n \"probability\": 0.999755859375,\n \"start\": 1046.1,\n \"word\": \"siguientes\"\n },\n {\n \"end\": 1046.92,\n \"probability\": 0.999755859375,\n \"start\": 1046.54,\n \"word\": \"pasos.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.2349380678958721,\n \"end\": \"1048.98\",\n \"speaker\": \"Yusef Jacobs\",\n \"start\": \"1047.4\",\n \"text\": \"Vale. Buenísimo.\",\n \"words\": [\n {\n \"end\": 1047.96,\n \"probability\": 0.96484375,\n \"start\": 1047.4,\n \"word\": \"Vale.\"\n },\n {\n \"end\": 1048.98,\n \"probability\": 0.9376627604166666,\n \"start\": 1048.42,\n \"word\": \"Buenísimo.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.2349380678958721,\n \"end\": \"1052.76\",\n \"speaker\": \"Flor De Anda\",\n \"start\": \"1049.78\",\n \"text\": \"Muchas gracias por el tiempo y un gusto. Bye.\",\n \"words\": [\n {\n \"end\": 1050.34,\n \"probability\": 0.51953125,\n \"start\": 1049.78,\n \"word\": \"Muchas\"\n },\n {\n \"end\": 1050.72,\n \"probability\": 0.99755859375,\n \"start\": 1050.34,\n \"word\": \"gracias\"\n },\n {\n \"end\": 1051,\n \"probability\": 0.998046875,\n \"start\": 1050.72,\n \"word\": \"por\"\n },\n {\n \"end\": 1051.1,\n \"probability\": 0.998046875,\n \"start\": 1051,\n \"word\": \"el\"\n },\n {\n \"end\": 1051.44,\n \"probability\": 1,\n \"start\": 1051.1,\n \"word\": \"tiempo\"\n },\n {\n \"end\": 1051.66,\n \"probability\": 0.8935546875,\n \"start\": 1051.44,\n \"word\": \"y\"\n },\n {\n \"end\": 1051.76,\n \"probability\": 0.99951171875,\n \"start\": 1051.66,\n \"word\": \"un\"\n },\n {\n \"end\": 1051.98,\n \"probability\": 0.9970703125,\n \"start\": 1051.76,\n \"word\": \"gusto.\"\n },\n {\n \"end\": 1052.76,\n \"probability\": 0.98046875,\n \"start\": 1052.2,\n \"word\": \"Bye.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.262109375,\n \"end\": \"1053.9\",\n \"speaker\": \"Yusef Jacobs\",\n \"start\": \"1053.7\",\n \"text\": \"Bye.\",\n \"words\": [\n {\n \"end\": 1053.9,\n \"probability\": 0.91015625,\n \"start\": 1053.7,\n \"word\": \"Bye.\"\n }\n ]\n }\n ],\n \"template\": {\n \"id\": \"15ec6a7b-aac3-40b5-b0cb-f8438660f178\",\n \"name\": \"Customer Discovery\",\n \"description\": \"Este template se usa para llamadas con prospectos para entender si el prospecto es un buen fit para nosotros y nosotros somos un buen fit para ellos. se enfoca en entender los problemas de los usuarios, el tipo de solución que han explorado, la prioridad que tiene implementar la solución, presupuesto y timeline.\",\n \"organization\": \"a04e475f-64d5-4db7-a6bc-1251a46b0b08\",\n \"owner\": {\n \"id\": \"string\"\n },\n \"editors\": [\n {\n \"id\": \"string\"\n }\n ],\n \"components\": [\n {\n \"id\": \"8be26914-feca-41d6-a7a8-d00865bbc52c\",\n \"name\": \"Summary\",\n \"description\": \"Official Jamy.ai component to generate a summary of the meeting\",\n \"organization_object\": {\n \"name\": \"Jamy\"\n },\n \"component_type\": \"GENERATION\",\n \"owner\": {\n \"id\": \"string\"\n },\n \"editors\": [\n {\n \"id\": \"string\"\n }\n ],\n \"prompt\": {\n \"prompt\": [\n {\n \"name\": \"1. Write a complete summary of the above transcript.\\n2. It should be in paragraph form or continuous prose, not bullet points. Separate each paragraph.\\n3. It is very important to disregard any non-essential chatter or small talk from your summary unless it is directly relevant to the work discussion or decisions. Exclude all conversations related to personal life.\\n4. Small talk usually happens at the beginning or the end of the transcript. Do not include small talk in your summary. Give less importance in your summary to the first and last minutes of the transcript.\\n5. The goal is to produce a thorough and clear summary that provides a very detailed reference to all the main topics, questions raised, tasks assigned, and significant exchanges in the conversation.\\n6. Take into account what each speaker said, based on the speaker labels of the transcript, when creating the summary.\\n7. Make sure you reference the speaker's first name when appropriate and use the appropriate gender for pronouns based on the speaker's name. Only use the first name, not the complete name.\\n8. Write in the same manner of speech as the call participants speak.\\n9. Include all subjects discussed in the call. Even if you just mention one sentence about it. Exclude small talk and personal conversations.\\n10. Details about numbers and figures are particularly important. Include those details in an easy-to-understand way.\\n11. Be very factual and succinct. Do not express topics in a superlative way.\\n12. Do not leave sentences unfinished.\\n13. Be very detailed. Do not just mention topics, add the complete details of each topic to the summary.\\n14. Instead of saying 'The participants said more material needs to be bought' say 'X amount of Y material needs to be bought by Z date and it needs to be stored in W warehouse.'\\n15. Verify that you did not include any small talk in the summary.\",\n \"type\": \"\",\n \"description\": \"\"\n }\n ]\n },\n \"public\": true,\n \"created_date\": \"2024-09-08T21:54:36.335679-06:00\"\n },\n {\n \"id\": \"2d8ca9dd-13f6-4766-afb1-3edf4ef35626\",\n \"name\": \"Preguntas de Customer Discovery\",\n \"description\": \"Preguntas de Customer Discovery para entender si un prospecto es una buena opción para nosotros y si nosotros somos una buena opción para ellos.\",\n \"organization_object\": {\n \"name\": \"Jamy\"\n },\n \"component_type\": \"FORM\",\n \"owner\": {\n \"id\": \"string\"\n },\n \"editors\": [\n {\n \"id\": \"string\"\n }\n ],\n \"prompt\": {\n \"prompt\": [\n {\n \"name\": \"¿Cuáles son los mayores desafíos que enfrenta su empresa?\",\n \"type\": \"long_text\",\n \"description\": \"Busque una descripción detallada que incluya desafíos estratégicos, operativos o de crecimiento. Se valoran menciones a tecnología, mercado, competencia o cambios organizativos.\"\n },\n {\n \"name\": \"¿Qué aspectos son críticos para el éxito del producto o servicio que ofrecemos para su empresa?\",\n \"type\": \"long_text\",\n \"description\": \"Espere una respuesta sobre los beneficios que más valoran, tales como eficiencia, costo, compatibilidad o funcionalidades específicas. Menciones a ROI o mejora de procesos son valiosas.\"\n },\n {\n \"name\": \"¿Por qué su empresa está interesada en nuestro producto o servicio ahora?\",\n \"type\": \"long_text\",\n \"description\": \"Busque razones relacionadas con necesidad urgente, cambios en la empresa, presión competitiva o iniciativas estratégicas. Menciones a plazos o eventos recientes pueden ser relevantes.\"\n },\n {\n \"name\": \"¿Está su empresa considerando otras opciones junto con nosotros?\",\n \"type\": \"long_text\",\n \"description\": \"True si se mencionan competidores o alternativas en la conversación.\"\n },\n {\n \"name\": \"Califique el interés general de su empresa en nuestra propuesta.\",\n \"type\": \"long_text\",\n \"description\": \"Utilice una escala del 1 al 10, donde 10 indica el máximo interés.\"\n },\n {\n \"name\": \"¿Cuándo esperaría ver resultados tras implementar nuestro producto o servicio?\",\n \"type\": \"long_text\",\n \"description\": \"Busque un marco de tiempo específico mencionado en la conversación, usualmente expresado en meses.\"\n }\n ]\n },\n \"public\": false,\n \"created_date\": \"2025-03-13T14:29:26.341436-06:00\"\n }\n ],\n \"tasks_and_topics\": true,\n \"public\": false,\n \"created_date\": \"2025-03-13T14:30:58.454271-06:00\"\n },\n \"report\": [\n {\n \"id\": \"bb966a75-a60b-4c59-9fe9-dcbbaef4862c\",\n \"name\": \"Preguntas de Customer Discovery__Jamy <> Koltin\",\n \"component\": {\n \"id\": \"2d8ca9dd-13f6-4766-afb1-3edf4ef35626\",\n \"component_type\": \"FORM\",\n \"name\": \"Preguntas de Customer Discovery\",\n \"prompt\": {\n \"prompt\": [\n {\n \"name\": \"¿Cuáles son los mayores desafíos que enfrenta su empresa?\",\n \"type\": \"long_text\",\n \"description\": \"Busque una descripción detallada que incluya desafíos estratégicos, operativos o de crecimiento. Se valoran menciones a tecnología, mercado, competencia o cambios organizativos.\"\n },\n {\n \"name\": \"¿Qué aspectos son críticos para el éxito del producto o servicio que ofrecemos para su empresa?\",\n \"type\": \"long_text\",\n \"description\": \"Espere una respuesta sobre los beneficios que más valoran, tales como eficiencia, costo, compatibilidad o funcionalidades específicas. Menciones a ROI o mejora de procesos son valiosas.\"\n },\n {\n \"name\": \"¿Por qué su empresa está interesada en nuestro producto o servicio ahora?\",\n \"type\": \"long_text\",\n \"description\": \"Busque razones relacionadas con necesidad urgente, cambios en la empresa, presión competitiva o iniciativas estratégicas. Menciones a plazos o eventos recientes pueden ser relevantes.\"\n },\n {\n \"name\": \"¿Está su empresa considerando otras opciones junto con nosotros?\",\n \"type\": \"long_text\",\n \"description\": \"True si se mencionan competidores o alternativas en la conversación.\"\n },\n {\n \"name\": \"Califique el interés general de su empresa en nuestra propuesta.\",\n \"type\": \"long_text\",\n \"description\": \"Utilice una escala del 1 al 10, donde 10 indica el máximo interés.\"\n },\n {\n \"name\": \"¿Cuándo esperaría ver resultados tras implementar nuestro producto o servicio?\",\n \"type\": \"long_text\",\n \"description\": \"Busque un marco de tiempo específico mencionado en la conversación, usualmente expresado en meses.\"\n }\n ]\n }\n },\n \"result\": {\n \"result\": [\n {\n \"name\": \"¿Cuáles son los mayores desafíos que enfrenta su empresa?\",\n \"value\": \"\",\n \"quotes\": [],\n \"id\": \"51130cc8-2909-4828-ae71-610f7fa044aa\"\n },\n {\n \"name\": \"¿Qué aspectos son críticos para el éxito del producto o servicio que ofrecemos para su empresa?\",\n \"value\": \"Los aspectos críticos para el éxito del producto en su empresa incluyen la capacidad de generar automáticamente informes de conversaciones y la flexibilidad para personalizar esos informes, adaptándolos a las necesidades específicas como llamadas de ventas, reclutamiento y entrevistas. La integración con herramientas existentes y la capacidad de automatizar procesos también son fundamentales para mejorar la eficiencia operativa y facilitar la recopilación de datos precisos durante encuentros con clientes y candidatos.\",\n \"quotes\": [\n {\n \"quote\": \"Es muy fácil hacerlo o pueden usar reportes estándares.\",\n \"timestamp\": 153.3,\n \"speaker\": \"Adriana Malaret\"\n },\n {\n \"quote\": \"Ustedes pueden personalizar el tipo de reportes que tienen.\",\n \"timestamp\": 213.05,\n \"speaker\": \"Yusef Jacobs\"\n }\n ],\n \"id\": \"303f8200-44da-41d8-9f0e-cd606004b481\"\n },\n {\n \"name\": \"¿Por qué su empresa está interesada en nuestro producto o servicio ahora?\",\n \"value\": \"La empresa muestra interés en el producto debido a su flexibilidad y capacidad de integración con sus herramientas actuales como Aircall, HubSpot, y Sendesk. La necesidad de mejorar la eficiencia en el manejo de informes y la automatización de la recopilación de información durante las llamadas son factores determinantes. Además, la posibilidad de personalizar informes detallados y organizarlos por carpetas para un análisis eficiente de conversaciones resulta crucial para los equipos de ventas y reclutamiento.\",\n \"quotes\": [\n {\n \"quote\": \"Quisiéramos tenerlo en otra plataforma. Usamos HubSpot y Sendesk para servicio.\",\n \"timestamp\": 652.49,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"El más común que ventas y reclutamiento tengan muchas llamadas.\",\n \"timestamp\": 690.46,\n \"speaker\": \"Flor De Anda\"\n }\n ],\n \"id\": \"48dde46b-c909-4baa-b7bd-b683c66acc40\"\n },\n {\n \"name\": \"¿Está su empresa considerando otras opciones junto con nosotros?\",\n \"value\": \"True\",\n \"quotes\": [\n {\n \"quote\": \"Usamos HubSpot y Sendesk para servicio.\",\n \"timestamp\": 652.49,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Entonces, sí lo podrías hacer por folder y ahí puedes agrupar todas las, los reportes que tú quieras.\",\n \"timestamp\": 462.86,\n \"speaker\": \"Yusef Jacobs\"\n }\n ],\n \"id\": \"51a79177-f1f3-491e-9fc7-b9204e04851c\"\n },\n {\n \"name\": \"Califique el interés general de su empresa en nuestra propuesta.\",\n \"value\": \"8\",\n \"quotes\": [\n {\n \"quote\": \"Creo que Adri también.\",\n \"timestamp\": 979.02,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Veo algunos potenciales casos de uso.\",\n \"timestamp\": 999.81,\n \"speaker\": \"Yusef Jacobs\"\n }\n ],\n \"id\": \"0cb8635c-f69b-44fa-af9e-700012627053\"\n },\n {\n \"name\": \"¿Cuándo esperaría ver resultados tras implementar nuestro producto o servicio?\",\n \"value\": \"\",\n \"quotes\": [],\n \"id\": \"0fda9fbe-1865-4816-8a04-10e2447e5381\"\n }\n ],\n \"score\": \"66.7%\"\n },\n \"status\": \"done\",\n \"created_date\": \"2025-04-02T13:21:02.375662-06:00\"\n },\n {\n \"id\": \"f527f54b-f743-4e49-adf5-6438f55e2d00\",\n \"name\": \"Summary__Jamy <> Koltin\",\n \"component\": {\n \"id\": \"8be26914-feca-41d6-a7a8-d00865bbc52c\",\n \"component_type\": \"GENERATION\",\n \"name\": \"Summary\",\n \"prompt\": {\n \"prompt\": [\n {\n \"name\": \"1. Write a complete summary of the above transcript.\\n2. It should be in paragraph form or continuous prose, not bullet points. Separate each paragraph.\\n3. It is very important to disregard any non-essential chatter or small talk from your summary unless it is directly relevant to the work discussion or decisions. Exclude all conversations related to personal life.\\n4. Small talk usually happens at the beginning or the end of the transcript. Do not include small talk in your summary. Give less importance in your summary to the first and last minutes of the transcript.\\n5. The goal is to produce a thorough and clear summary that provides a very detailed reference to all the main topics, questions raised, tasks assigned, and significant exchanges in the conversation.\\n6. Take into account what each speaker said, based on the speaker labels of the transcript, when creating the summary.\\n7. Make sure you reference the speaker's first name when appropriate and use the appropriate gender for pronouns based on the speaker's name. Only use the first name, not the complete name.\\n8. Write in the same manner of speech as the call participants speak.\\n9. Include all subjects discussed in the call. Even if you just mention one sentence about it. Exclude small talk and personal conversations.\\n10. Details about numbers and figures are particularly important. Include those details in an easy-to-understand way.\\n11. Be very factual and succinct. Do not express topics in a superlative way.\\n12. Do not leave sentences unfinished.\\n13. Be very detailed. Do not just mention topics, add the complete details of each topic to the summary.\\n14. Instead of saying 'The participants said more material needs to be bought' say 'X amount of Y material needs to be bought by Z date and it needs to be stored in W warehouse.'\\n15. Verify that you did not include any small talk in the summary.\",\n \"type\": \"\",\n \"description\": \"\"\n }\n ]\n }\n },\n \"result\": {\n \"result\": [\n {\n \"value\": \"Durante la reunión, Yusef se encargó de ofrecer una demostración detallada de las capacidades de la herramienta Jamy a Adriana, Flor y José. Explicó que Jamy puede integrarse en llamadas de Google Meet, Zoom, Teams y WebEx para grabar audio y video, generando posteriormente un reporte completo de la llamada. Este reporte puede ser personalizado para diversas funciones como ventas, entrevistas de productos, o cualquier finalidad específica que el usuario requiera. Los reportes incluyen un resumen, temas principales, y tareas asignadas automáticamente a los responsables, con la posibilidad de integrarse en herramientas como CRM. Además, los reportes pueden incluir formularios personalizados, cuyo contenido Jamy puede completar automáticamente.\\n\\nAdriana preguntó sobre la posibilidad de personalizar Jamy con otras herramientas a través de API o webhooks. Yusef confirmó que esto es posible y mencionó a Aircall como un ejemplo de integración, ya que varios clientes ya lo utilizan. Pueden enviar un enlace de grabación desde Aircall vía un webhook a Jamy, que generará el reporte correspondiente de la grabación. Además, Flor manifestó interés por la capacidad de Jamy de proporcionar análisis más allá de la conversación individual. Yusef explicó que aunque no se puede analizar de manera global todas las llamadas, es posible organizar las grabaciones por carpetas para realizar preguntas sobre todos los informes contenidos en cada carpeta.\\n\\nYusef también destacó que Jamy permite integraciones con plataformas como Slack, donde se puede interactuar con el reporte en un formato tipo chat, haciendo preguntas a base de la información de la llamada. También mostró cómo personalizar plantillas y componentes para que se adapten a las necesidades específicas de informes, lo que resulta útil para distintos escenarios como llamadas de descubrimiento o evaluaciones de clientes.\\n\\nSobre los casos de uso, Yusef comentó que los clientes de Jamy los aplican principalmente en equipos de ventas y reclutamiento, donde hay muchas llamadas que requieren análisis detallados y automatización de tareas. Flor, interesada en características avanzadas como el scoring de conversaciones, recibió de Yusef una explicación de cómo Jamy permite agregar instrucciones específicas para calificar llamadas en función de criterios expuestos durante las mismas.\\n\\nFinalmente, tanto Flor como Adriana mostraron interés en probar Jamy ellos mismos para entender mejor sus capacidades. Yusef se comprometió a enviar un reporte de la reunión a sus correos, el cual podrán explorar sin necesidad de crear una cuenta inicialmente. También mencionaron planear un seguimiento en aproximadamente una semana para discutir sus hallazgos e impresiones tras explorar la herramienta.\"\n }\n ],\n \"score\": null\n },\n \"status\": \"done\",\n \"created_date\": \"2025-04-02T13:21:02.091637-06:00\"\n }\n ],\n \"summary\": null,\n \"tasks\": [\n {\n \"description\": \"Flor y Adriana dedicarán una semana para bajar y revisar sus casos de uso de la herramienta Jamy. Después de esta revisión, se planeará un seguimiento para discutir sus hallazgos y determinar los siguientes pasos a seguir en la implementación de la herramienta.\",\n \"quotes\": [\n {\n \"quote\": \"Sí. Danos una semanita como bajar nuestros user cases para esto, probarlo y, nada, volvemos contigo.\",\n \"timestamp\": 1022.81,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Flor y Adriana revisarán y bajarán sus casos de uso de Jamy.\",\n \"timestamp\": 0,\n \"speaker\": \"\"\n }\n ],\n \"id\": \"93a61341-52d7-472c-863b-c2bf44f65c65\",\n \"task\": \"Flor y Adriana revisarán y bajarán sus casos de uso de Jamy.\",\n \"responsibles\": [\n {\n \"first_name\": \"Flor\",\n \"last_name\": \"De Anda\",\n \"email\": \"jose.delgado@koltin.mx\"\n },\n {\n \"first_name\": \"Adriana\",\n \"last_name\": \"Malaret\",\n \"email\": \"adriana@koltin.mx\"\n }\n ],\n \"status\": \"to_do\"\n },\n {\n \"description\": \"Yusef enviará un correo de seguimiento a Adriana y Flor en una semana para discutir los siguientes pasos después de que ambos hayan tenido tiempo de probar la herramienta Jamy y establecer sus casos de uso específicos.\",\n \"quotes\": [\n {\n \"quote\": \"Danos una semanita como bajar nuestros user cases para esto, probarlo y, nada, volvemos contigo.\",\n \"timestamp\": 1022.81,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Cualquier duda que tengan, ahí estoy por correo. Y si quieren, sí, en una semanita les mando un correo por si quieren dar, para hacer follow up y vemos siguientes pasos.\",\n \"timestamp\": 1034.66,\n \"speaker\": \"Adriana Malaret\"\n }\n ],\n \"id\": \"4ee26f68-8651-4b99-90c9-7f30afa1ae17\",\n \"task\": \"Yusef enviará un correo de seguimiento en una semana.\",\n \"responsibles\": [\n {\n \"first_name\": \"Yusef\",\n \"last_name\": \"Jacobs\",\n \"email\": \"yusef@jamy.ai\"\n }\n ],\n \"status\": \"to_do\"\n },\n {\n \"description\": \"Adriana Malaret y Yusef Jacobs abrirán cuentas en Jamy y realizarán pruebas para entender mejor sus funcionalidades y potenciales casos de uso antes de un seguimiento posterior.\",\n \"quotes\": [\n {\n \"quote\": \"me gustaría a mí darle un vistazo, probarlo y eso. Entonces, ahí me vas a estar viendo, abriendo mi cuenta, Joseph. Creo que Adri también.\",\n \"timestamp\": 962.52,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Sí. 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Entonces, ¿en qué estás pensando? ¿Ustedes ya usan alguna herramienta que genere una grabación de una llamada, por ejemplo?\",\n \"words\": [\n {\n \"end\": 153.86,\n \"probability\": 0.99365234375,\n \"start\": 153.3,\n \"word\": \"Sí.\"\n },\n {\n \"end\": 154.34,\n \"probability\": 0.390625,\n \"start\": 154,\n \"word\": \"Entonces,\"\n },\n {\n \"end\": 155.64,\n \"probability\": 0.72314453125,\n \"start\": 154.44,\n \"word\": \"¿en\"\n },\n {\n \"end\": 156.12,\n \"probability\": 1,\n \"start\": 155.64,\n \"word\": \"qué\"\n },\n {\n \"end\": 156.26,\n \"probability\": 0.99951171875,\n \"start\": 156.12,\n \"word\": \"estás\"\n },\n {\n \"end\": 156.54,\n \"probability\": 1,\n \"start\": 156.26,\n \"word\": \"pensando?\"\n },\n {\n \"end\": 156.92,\n \"probability\": 0.99951171875,\n \"start\": 156.66,\n \"word\": \"¿Ustedes\"\n },\n {\n \"end\": 157,\n \"probability\": 1,\n \"start\": 156.92,\n \"word\": \"ya\"\n },\n {\n \"end\": 157.32,\n \"probability\": 1,\n \"start\": 157,\n \"word\": \"usan\"\n },\n {\n \"end\": 157.54,\n \"probability\": 1,\n \"start\": 157.32,\n \"word\": \"alguna\"\n },\n {\n \"end\": 158.08,\n \"probability\": 1,\n \"start\": 157.54,\n \"word\": \"herramienta\"\n },\n {\n \"end\": 158.2,\n \"probability\": 1,\n \"start\": 158.08,\n \"word\": \"que\"\n },\n {\n \"end\": 158.52,\n \"probability\": 1,\n \"start\": 158.2,\n \"word\": \"genere\"\n },\n {\n \"end\": 158.9,\n \"probability\": 1,\n \"start\": 158.52,\n \"word\": \"una\"\n },\n {\n \"end\": 160.12,\n \"probability\": 1,\n \"start\": 158.9,\n \"word\": \"grabación\"\n },\n {\n \"end\": 160.32,\n \"probability\": 1,\n \"start\": 160.12,\n \"word\": \"de\"\n },\n {\n \"end\": 160.42,\n \"probability\": 1,\n \"start\": 160.32,\n \"word\": \"una\"\n },\n {\n \"end\": 160.92,\n \"probability\": 1,\n \"start\": 160.42,\n \"word\": \"llamada,\"\n },\n {\n \"end\": 161.12,\n \"probability\": 1,\n \"start\": 160.96,\n \"word\": \"por\"\n },\n {\n \"end\": 161.4,\n \"probability\": 1,\n \"start\": 161.12,\n \"word\": \"ejemplo?\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.10054866321214283,\n \"end\": \"162.46\",\n \"speaker\": \"Yusef Jacobs\",\n \"start\": \"161.94\",\n \"text\": \"Aircall.\",\n \"words\": [\n {\n \"end\": 162.46,\n \"probability\": 0.51971435546875,\n \"start\": 161.94,\n \"word\": \"Aircall.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.10054866321214283,\n \"end\": \"184.76\",\n \"speaker\": \"Adriana Malaret\",\n \"start\": \"163.0\",\n \"text\": \"Ok. Sí, de hecho, varios de nuestros clientes usan Aircall. Entonces, lo que podríamos hacer es, Aircall ya tiene funcionalidad de Webhooks, ¿no? Entonces, ustedes podrían conectar a Aircall un Webhook de Jamy a donde nos mandan un link de una grabación y nosotros generamos un reporte de esa grabación. Entonces, sí. 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Entonces, por ejemplo, esta es una llamada que yo tuve con un cliente potencial que son reclutadores. Así usan Jamy para sus llamadas de screening con candidatos. Entonces, este es el reporte que generó Jamy. Como pueden ver, tiene varios como componentes. El reporte tiene un resumen, tienen un formulario específico que yo agregué como para analizar retos de empresas de reclutamiento. Este yo lo agregué manual. Ahorita les enseño cómo crear sus propios como componentes y templates. Entonces, Jamy llena las respuestas. Tiene una sección de temas principales y la sección de tareas que se tienen que hacer. Las tareas... Las tareas las asigna automáticamente a la persona que las tiene que hacer y ustedes también pueden integrar la funcionalidad de tareas con alguna herramienta que usen como un CRM, por ejemplo. Para los temas y las tareas pueden tener un detalle específico de cuál es el tema tal cual, de dónde sacó Jamy, qué es ser un tema específico, qué punto del video y quotes. Lo mismo con tareas, por ejemplo, para que sepan bien de qué se trata la tarea. Y lo mismo. Lo mismo con las respuestas que llena de un formulario personalizado que ustedes pueden crear. Todo esto lo pueden editar y después lo pueden mandar por correo, por Slack. También tenemos integraciones. Obvio, pueden ver el video y el transcript Word for the World. Entonces, pueden ir trackeando qué es lo que dijo cada quien. Y pueden descargar el transcript si quisieran también. Y algo que también les ofrecemos es que haz de cuenta que tenemos un chat que es como un chat GPT entrenado. Con el contenido de la llamada. Entonces, en este chat ustedes le pueden hacer cualquier pregunta a Jamy sobre la llamada y les va a contestar con la información de lo que se dijo. Esa funcionalidad de chat también la pueden tener en Slack. Entonces, pueden integrar Jamy con Slack. Es como instalar una app en Slack. Y una vez que mandan reportes como este que les enseñé a Slack, pueden hacerle preguntas a Jamy ahí y les contesta en un hilo como si fuera otra persona de su equipo. Ya si quieren hacer como reportes un poco más. Y después de haber avanzado, después de que se haya creado el reporte, si les hizo falta algo, pueden crear un componente adicional. Entonces, no sé si quieren, además de las preguntas de análisis de retros del reclutamiento, pueden agregar preguntas de Customer Discovery. Por ejemplo, Jamy llena las respuestas a esas preguntas de forma automática. Ahorita les enseño cómo crear estos templates personalizados para que se ajusten a sus necesidades. 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Decías incluso, bueno, si quiero hacer una pregunta sobre esto. Entonces, sobre llamada, viene el reporte y viene un análisis. O sea, mi duda es si, o sea, a nivel general, podría yo preguntar cosas sobre todas las llamadas. Ejemplo, oye, en todas las llamadas presentadas. 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Ya. Sí, entiendo a lo que te refieres. Hay algo similar que ahorita se puede hacer, no tan general de todas las llamadas, pero puedes hacer, puedes crear folders de llamadas, o sea, como folders para organizar tus llamadas. Yo aquí tengo algunos ejemplos. Digamos, creas un folder de finanzas, por ejemplo. Y tienes un chat que está entre. Entonces, le podrías hacer preguntas como esa que acabas de decir a todas las, o sea, con respecto a todas las llamadas que estén dentro de ese folder. Entonces, sí lo puedes hacer por folder y ahí puedes agrupar todas las, los reportes que tú quieras. General de todas las llamadas que has tenido, no, pero lo podrías hacer por folder.\",\n \"words\": [\n {\n \"end\": 412.01,\n \"probability\": 0.99951171875,\n \"start\": 411.63,\n \"word\": \"No\"\n },\n {\n \"end\": 412.21,\n \"probability\": 1,\n \"start\": 412.01,\n \"word\": \"sé.\"\n },\n {\n \"end\": 413.11,\n \"probability\": 0.8310546875,\n \"start\": 412.59,\n \"word\": \"Ya.\"\n },\n {\n \"end\": 415.27,\n \"probability\": 0.8017578125,\n \"start\": 414.75,\n \"word\": \"Sí,\"\n },\n {\n \"end\": 415.63,\n \"probability\": 0.99853515625,\n \"start\": 415.35,\n \"word\": \"entiendo\"\n },\n {\n \"end\": 415.75,\n \"probability\": 0.96630859375,\n \"start\": 415.63,\n \"word\": \"a\"\n },\n {\n \"end\": 415.77,\n \"probability\": 1,\n \"start\": 415.75,\n \"word\": \"lo\"\n },\n {\n \"end\": 415.85,\n \"probability\": 1,\n \"start\": 415.77,\n \"word\": \"que\"\n },\n {\n \"end\": 415.95,\n \"probability\": 1,\n \"start\": 415.85,\n \"word\": \"te\"\n },\n {\n \"end\": 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Y en cuanto a video, en cuanto a llamadas telefónicas, este, ven, este reporte que les acabo de enseñar fue una videollamada, ¿no? Pueden tener reportes igualitos a ese, pero de llamadas telefónicas que hagan ustedes desde Jamy, las pueden hacer desde Jamy, o de llamadas telefónicas que hayan hecho, por ejemplo, en Aircall y que nos pasen por API. Nosotros les generamos un reporte como el que les acabo de enseñar, ¿va? Y por último, les enseño, les platico. Un poco lo de los templates personalizados. Entonces, ustedes pueden crear como justo plantillas de llamadas, dependiendo cada una de las necesidades que tienen. Las plantillas están hechas de componentes. Haz de cuenta que la sección de Summary, la sección de Discovery Call, son componentes que yo creo. Entonces, por ejemplo, vamos a entrar a ese de preguntas de reclutamiento. Aquí está. Entonces, estas son las preguntas que yo definí, que yo hago en una llamada cuando estoy analizando a un potencial cliente de reclutamiento. Todas estas, en realidad, no las hice yo. Puedes crear un componente simplemente describiendo lo que quieres a Jamy. Entonces, yo le digo aquí como, quiero un componente, un formulario para una llamada de un cliente que es reclutador y está analizando usar Jamy, bla, bla, bla. Y Jamy me genera justamente un componente con el que les acabo de enseñar, ¿no? Entonces, te genera esto. Y básicamente, después lo que haces es que ya que tienes tus componentes, los que tú quieres, los agregas a un template. Entonces, por ejemplo, podemos, yo les voy a enseñar aquí un template de Customer Discovery, ¿no? En el template de Customer Discovery, las secciones que quiero son Summary, Preguntas de Discovery y Tasks and Topics. Entonces, ustedes pueden ir creando sus componentes con ayuda de Jamy. No tienen que escribir nada a mano. Y después los agrupan en un template y así tienen como plantillas personalizadas que Jamy va a generar contenido para cada uno de esos componentes, según lo que ustedes hayan definido. Entonces, así pueden tener reportes que se adaptan exactamente a lo que ustedes necesitan, dependiendo el tipo de llamadas que tengan, ¿no? Y listo. Bueno, además de todo esto que les enseñé y lo que ya platicamos del API, que ustedes pueden generar reportes por API, también pueden hacerlo al revés, ¿no? Entonces, nosotros tenemos también una funcionalidad de Webhooks en donde si genero un reporte, después se los puedo mandar a donde ustedes quieran, ¿no? Tal vez les puedo mandar el reporte a un... A un CRM para que ustedes llenen la información o a alguna plataforma para que tengan toda la información que el reporte generó. Entonces, también lo podemos hacer de los dos lados. Y listo. Eso es un poco la plataforma. La solución, ¿tienen alguna pregunta?\",\n \"words\": [\n {\n \"end\": 463.34,\n \"probability\": 0.99755859375,\n \"start\": 462.86,\n \"word\": \"Exacto,\"\n },\n {\n \"end\": 463.74,\n \"probability\": 0.9736328125,\n \"start\": 463.34,\n \"word\": \"exactamente.\"\n },\n {\n \"end\": 465.92,\n \"probability\": 0.403564453125,\n \"start\": 465.46,\n \"word\": \"Y\"\n },\n {\n \"end\": 466.22,\n \"probability\": 0.9638671875,\n \"start\": 465.92,\n \"word\": \"en\"\n },\n {\n \"end\": 467.3,\n \"probability\": 0.99951171875,\n \"start\": 466.22,\n \"word\": \"cuanto\"\n },\n {\n \"end\": 467.48,\n \"probability\": 0.99951171875,\n \"start\": 467.3,\n \"word\": \"a\"\n },\n {\n \"end\": 467.58,\n \"probability\": 0.01052093505859375,\n \"start\": 467.48,\n \"word\": \"video,\"\n },\n {\n \"end\": 467.96,\n \"probability\": 0.994140625,\n \"start\": 467.66,\n \"word\": \"en\"\n },\n {\n \"end\": 468.22,\n \"probability\": 0.99853515625,\n \"start\": 467.96,\n \"word\": \"cuanto\"\n 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Oye, y por pura interés, ¿qué casos de uso tienen tus clientes hoy? O sea, la gente que lo está usando, ¿para qué lo aplica?\",\n \"words\": [\n {\n \"end\": 680.97,\n \"probability\": 0.51513671875,\n \"start\": 680.49,\n \"word\": \"Ok.\"\n },\n {\n \"end\": 681.57,\n \"probability\": 0.933349609375,\n \"start\": 681.13,\n \"word\": \"Oye,\"\n },\n {\n \"end\": 681.81,\n \"probability\": 0.9130859375,\n \"start\": 681.57,\n \"word\": \"y\"\n },\n {\n \"end\": 682.85,\n \"probability\": 0.94189453125,\n \"start\": 681.81,\n \"word\": \"por\"\n },\n {\n \"end\": 683.62,\n \"probability\": 0.76953125,\n \"start\": 683.2,\n \"word\": \"pura\"\n },\n {\n \"end\": 684.58,\n \"probability\": 0.989013671875,\n \"start\": 683.62,\n \"word\": \"interés,\"\n },\n {\n \"end\": 685.38,\n \"probability\": 0.935791015625,\n \"start\": 684.6,\n \"word\": \"¿qué\"\n },\n {\n \"end\": 685.76,\n \"probability\": 0.7431640625,\n \"start\": 685.38,\n \"word\": \"casos\"\n },\n {\n \"end\": 686,\n \"probability\": 0.9990234375,\n \"start\": 685.76,\n \"word\": \"de\"\n },\n {\n \"end\": 686.24,\n \"probability\": 0.9853515625,\n \"start\": 686,\n \"word\": \"uso\"\n },\n {\n \"end\": 686.82,\n \"probability\": 0.99072265625,\n \"start\": 686.24,\n \"word\": \"tienen\"\n },\n {\n \"end\": 687.16,\n \"probability\": 0.9638671875,\n \"start\": 686.82,\n \"word\": \"tus\"\n },\n {\n \"end\": 687.62,\n \"probability\": 1,\n \"start\": 687.16,\n \"word\": \"clientes\"\n },\n {\n \"end\": 687.9,\n \"probability\": 0.99169921875,\n \"start\": 687.62,\n \"word\": \"hoy?\"\n },\n {\n \"end\": 688.34,\n \"probability\": 0.57666015625,\n \"start\": 688.1,\n \"word\": \"O\"\n },\n {\n \"end\": 688.34,\n \"probability\": 0.998046875,\n \"start\": 688.34,\n \"word\": \"sea,\"\n },\n {\n \"end\": 688.44,\n \"probability\": 0.849609375,\n \"start\": 688.34,\n \"word\": \"la\"\n },\n {\n \"end\": 688.64,\n \"probability\": 1,\n \"start\": 688.44,\n \"word\": \"gente\"\n },\n {\n \"end\": 689.14,\n \"probability\": 0.990234375,\n \"start\": 688.64,\n \"word\": \"que\"\n },\n {\n \"end\": 689.2,\n \"probability\": 0.96484375,\n \"start\": 689.14,\n \"word\": \"lo\"\n },\n {\n \"end\": 689.32,\n \"probability\": 0.99365234375,\n \"start\": 689.2,\n \"word\": \"está\"\n },\n {\n \"end\": 689.46,\n \"probability\": 0.72509765625,\n \"start\": 689.32,\n \"word\": \"usando,\"\n },\n {\n \"end\": 689.66,\n \"probability\": 0.99951171875,\n \"start\": 689.56,\n \"word\": \"¿para\"\n },\n {\n \"end\": 689.8,\n \"probability\": 0.99951171875,\n \"start\": 689.66,\n \"word\": \"qué\"\n },\n {\n \"end\": 689.9,\n \"probability\": 0.99951171875,\n \"start\": 689.8,\n \"word\": \"lo\"\n },\n {\n \"end\": 690.2,\n \"probability\": 0.980712890625,\n \"start\": 689.9,\n \"word\": \"aplica?\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.1372916625936826,\n \"end\": \"823.26\",\n \"speaker\": \"Flor De Anda\",\n \"start\": \"690.46\",\n \"text\": \"Sí. Entonces, la verdad es que los más, digo, hay de todo, pero los más comunes son para equipos de ventas y para equipos de reclutamiento. Entonces, son los que más llamadas tienen todo el tiempo. Muy común que ventas y reclutamiento tengan muchas llamadas. Entonces, los de ventas lo usan mucho para justo estar analizando. Haciendo llamadas con clientes y recopilar la información de sus clientes, llenarla automáticamente de sus CRM, pero también mandar los reportes a los clientes para hacer follow up más específico y que el cliente tenga toda la información de forma automática. Los reclutadores lo usan mucho para llamadas de screening. Entonces, para que el reclutador no tenga que estar todo el tiempo llenando la información del candidato en un ATS, en un tracker de aplicantes, simplemente hace las preguntas de reclutamiento y se llenan automáticamente. En el ATS, algo que no les enseñé, pero que también lo usan mucho, por ejemplo, los vendedores y los reclutadores, es que además de poder crear componentes estos que les enseñé, que son formularios como pregunta y respuesta, puedes crear componentes que generen texto de acuerdo a unas instrucciones. Entonces, por ejemplo, algo que usan mucho los reclutadores es generan un componente que es evaluación del nivel de un candidato. Entonces, tú le puedes decir a Jamy como tomando en cuenta lo que se dijo en la llamada. Entonces, tú le puedes decir a Jamy como tomando en cuenta lo que se dijo en la llamada. Y las respuestas del candidato, dime cuál es el nivel del candidato, junior, senior, mediano, tomando en cuenta, no sé, los estándares de la industria y ciertos criterios que yo le digo. Entonces, Jamy automáticamente te genera como, pues este candidato es junior. Entonces, le llena, o sea, puedes generar como evaluaciones, puedes generar también, por ejemplo, algo que usan mucho los vendedores, es que generan una, como un score de la llamada. Para entender qué tan probable es que el cliente vaya a comprar el producto, ¿no? Entonces, tomando en cuenta lo que dijo el cliente, ¿sabes? Y puedes generar eso en automático, que normalmente son cosas que tienes que llenar en un, en tu CRM o en el caso de los reclutadores en una TS y aquí te lo genera solo. Entonces, yo diría que esos son los dos casos más comunes, reclutadores y vendedores, pero hay un poco de todo.\",\n \"words\": [\n {\n \"end\": 690.94,\n \"probability\": 0.9736328125,\n \"start\": 690.46,\n \"word\": \"Sí.\"\n },\n {\n \"end\": 691.64,\n \"probability\": 0.99560546875,\n \"start\": 691.16,\n \"word\": \"Entonces,\"\n },\n {\n \"end\": 692.4,\n \"probability\": 0.9990234375,\n \"start\": 691.76,\n \"word\": \"la\"\n },\n {\n \"end\": 692.62,\n \"probability\": 0.99951171875,\n \"start\": 692.4,\n \"word\": \"verdad\"\n },\n {\n \"end\": 692.7,\n \"probability\": 0.9990234375,\n \"start\": 692.62,\n \"word\": \"es\"\n },\n {\n \"end\": 692.74,\n \"probability\": 1,\n \"start\": 692.7,\n \"word\": \"que\"\n },\n {\n \"end\": 692.88,\n \"probability\": 0.99658203125,\n \"start\": 692.74,\n \"word\": \"los\"\n },\n {\n \"end\": 693.16,\n \"probability\": 0.99951171875,\n \"start\": 692.88,\n \"word\": \"más,\"\n },\n {\n \"end\": 693.62,\n \"probability\": 0.921875,\n 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Tú puedes definir tal cual lo que quieres que Jamy genere. Entonces, para estos que les platicaba son reportes tipo generation en vez de form. Entonces, para un reporte tipo generation, tú puedes darle a Jamy instrucciones. Entonces, no sé, le puedes decir un poco, digo, también lo podrías crear automáticamente aquí, pero vamos a hacerlo manual para que vean cómo funciona. Entonces, este, no sé, tomando, tomando en cuenta el nivel de inglés del candidato, dame un score del 1 al 10. No sé, este es algo muy sencillo, muy, muy tonto. Pero podrías decirlo. Es decir, este, toma en cuentas y usa, este, palabras, palabras técnicas en inglés para quitar o agregar puntos. No sé, estoy agregando cualquier cosa que se me está ocurriendo, pero para que se haya una idea de, tú puedes darle como las instrucciones que quieras. Entonces, eso que estás diciendo, Flor, podrías decir como, si dijeron esto, quita puntos. Si dijeron esto otro, agrega puntos. Este. Evalúa el score tomando en cuenta estos criterios. Entonces, todo lo agregas como instrucciones. 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Pueden hacerlo manual como yo lo hice o con la funcionalidad esta de aquí de Generate Components, solo describen lo que quieren, más o menos lo que están buscando. Y les va a generar algo Jamy para que no emprecien desde cero y ya después pueden editarlo para ajustarlo. 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Yo, para mí, claro, yo creo que, o sea, me gustaría a mí darle un vistazo, probarlo y eso. Entonces, ahí me vas a estar viendo, abriendo mi cuenta, Joseph. 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Pues, también después de esta llamada, pues, se va a generar un reporte y les va a llegar por correo y pueden acceder al reporte sin crear una cuenta, porque ustedes están invitadas a esta llamada. Y ahí pueden jugar un poco. Con el reporte para hacer preguntas y demás. 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Danos una semanita como bajar nuestros user cases para esto, probarlo y, nada, volvemos contigo.\",\n \"words\": [\n {\n \"end\": 1023.17,\n \"probability\": 0.9892578125,\n \"start\": 1022.81,\n \"word\": \"Sí.\"\n },\n {\n \"end\": 1023.35,\n \"probability\": 0.55078125,\n \"start\": 1023.23,\n \"word\": \"Sí.\"\n },\n {\n \"end\": 1023.81,\n \"probability\": 0.732421875,\n \"start\": 1023.35,\n \"word\": \"Danos\"\n },\n {\n \"end\": 1024.03,\n \"probability\": 0.998046875,\n \"start\": 1023.81,\n \"word\": \"una\"\n },\n {\n \"end\": 1026.05,\n \"probability\": 0.9212239583333334,\n \"start\": 1024.03,\n \"word\": \"semanita\"\n },\n {\n \"end\": 1026.19,\n \"probability\": 0.748046875,\n \"start\": 1026.05,\n \"word\": \"como\"\n },\n {\n \"end\": 1026.57,\n \"probability\": 0.6551513671875,\n \"start\": 1026.19,\n \"word\": \"bajar\"\n },\n {\n \"end\": 1026.75,\n \"probability\": 0.9951171875,\n \"start\": 1026.57,\n \"word\": \"nuestros\"\n },\n {\n \"end\": 1027.19,\n \"probability\": 0.81005859375,\n \"start\": 1026.75,\n \"word\": \"user\"\n },\n {\n \"end\": 1027.53,\n \"probability\": 0.9951171875,\n \"start\": 1027.19,\n \"word\": \"cases\"\n },\n {\n \"end\": 1027.97,\n \"probability\": 0.99755859375,\n \"start\": 1027.53,\n \"word\": \"para\"\n },\n {\n \"end\": 1028.47,\n \"probability\": 0.99951171875,\n \"start\": 1027.97,\n \"word\": \"esto,\"\n },\n {\n \"end\": 1030.98,\n \"probability\": 0.999267578125,\n \"start\": 1028.96,\n \"word\": \"probarlo\"\n },\n {\n \"end\": 1031.28,\n \"probability\": 0.95556640625,\n \"start\": 1030.98,\n \"word\": \"y,\"\n },\n {\n \"end\": 1032.64,\n \"probability\": 0.99853515625,\n \"start\": 1031.34,\n \"word\": \"nada,\"\n },\n {\n \"end\": 1033.18,\n \"probability\": 0.9967447916666666,\n \"start\": 1032.68,\n \"word\": \"volvemos\"\n },\n {\n \"end\": 1033.98,\n \"probability\": 1,\n \"start\": 1033.18,\n \"word\": \"contigo.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.2349380678958721,\n \"end\": \"1046.92\",\n \"speaker\": \"Adriana Malaret\",\n \"start\": \"1034.66\",\n \"text\": \"Buenísimo. Cualquier duda que tengan, ahí estoy por correo. Y si quieren, sí, en una semanita les mando un correo por si quieren dar, para hacer follow up y vemos siguientes pasos.\",\n \"words\": [\n {\n \"end\": 1035.22,\n \"probability\": 0.9934895833333334,\n \"start\": 1034.66,\n \"word\": \"Buenísimo.\"\n },\n {\n \"end\": 1035.82,\n \"probability\": 0.9998372395833334,\n \"start\": 1035.26,\n \"word\": \"Cualquier\"\n },\n {\n \"end\": 1036.02,\n \"probability\": 1,\n \"start\": 1035.82,\n \"word\": \"duda\"\n },\n {\n \"end\": 1036.2,\n \"probability\": 1,\n \"start\": 1036.02,\n \"word\": \"que\"\n },\n {\n \"end\": 1036.54,\n \"probability\": 1,\n \"start\": 1036.2,\n \"word\": \"tengan,\"\n },\n {\n \"end\": 1037.18,\n \"probability\": 0.98779296875,\n \"start\": 1036.76,\n \"word\": \"ahí\"\n },\n {\n \"end\": 1037.36,\n \"probability\": 0.98193359375,\n \"start\": 1037.18,\n \"word\": \"estoy\"\n },\n {\n \"end\": 1038.24,\n \"probability\": 0.99169921875,\n \"start\": 1037.36,\n \"word\": \"por\"\n },\n {\n \"end\": 1038.86,\n \"probability\": 1,\n \"start\": 1038.24,\n \"word\": \"correo.\"\n },\n {\n \"end\": 1040.24,\n \"probability\": 0.99951171875,\n \"start\": 1039.68,\n \"word\": \"Y\"\n },\n {\n \"end\": 1040.52,\n \"probability\": 0.9892578125,\n \"start\": 1040.24,\n \"word\": \"si\"\n },\n {\n \"end\": 1040.78,\n \"probability\": 0.99951171875,\n \"start\": 1040.52,\n \"word\": \"quieren,\"\n },\n {\n \"end\": 1040.98,\n \"probability\": 0.8876953125,\n \"start\": 1040.82,\n \"word\": \"sí,\"\n },\n {\n \"end\": 1041.1,\n \"probability\": 1,\n \"start\": 1040.98,\n \"word\": \"en\"\n },\n {\n \"end\": 1041.2,\n \"probability\": 1,\n \"start\": 1041.1,\n \"word\": \"una\"\n },\n {\n \"end\": 1041.7,\n \"probability\": 1,\n \"start\": 1041.2,\n \"word\": \"semanita\"\n },\n {\n \"end\": 1041.84,\n \"probability\": 0.99951171875,\n \"start\": 1041.7,\n \"word\": \"les\"\n },\n {\n \"end\": 1042.1,\n \"probability\": 1,\n \"start\": 1041.84,\n \"word\": \"mando\"\n },\n {\n \"end\": 1042.18,\n \"probability\": 1,\n \"start\": 1042.1,\n \"word\": \"un\"\n },\n {\n \"end\": 1042.5,\n \"probability\": 1,\n \"start\": 1042.18,\n \"word\": \"correo\"\n },\n {\n \"end\": 1042.62,\n \"probability\": 0.974609375,\n \"start\": 1042.5,\n \"word\": \"por\"\n },\n {\n \"end\": 1042.76,\n \"probability\": 1,\n \"start\": 1042.62,\n \"word\": \"si\"\n },\n {\n \"end\": 1042.96,\n \"probability\": 1,\n \"start\": 1042.76,\n \"word\": \"quieren\"\n },\n {\n \"end\": 1043.22,\n \"probability\": 0.9970703125,\n \"start\": 1042.96,\n \"word\": \"dar,\"\n },\n {\n \"end\": 1044.02,\n \"probability\": 0.9990234375,\n \"start\": 1043.34,\n \"word\": \"para\"\n },\n {\n \"end\": 1044.22,\n \"probability\": 0.9990234375,\n \"start\": 1044.02,\n \"word\": \"hacer\"\n },\n {\n \"end\": 1044.5,\n \"probability\": 0.99951171875,\n \"start\": 1044.22,\n \"word\": \"follow\"\n },\n {\n \"end\": 1044.7,\n \"probability\": 0.78759765625,\n \"start\": 1044.5,\n \"word\": \"up\"\n },\n {\n \"end\": 1045.02,\n \"probability\": 0.97265625,\n \"start\": 1044.7,\n \"word\": \"y\"\n },\n {\n \"end\": 1046.1,\n \"probability\": 0.91650390625,\n \"start\": 1045.02,\n \"word\": \"vemos\"\n },\n {\n \"end\": 1046.54,\n \"probability\": 0.999755859375,\n \"start\": 1046.1,\n \"word\": \"siguientes\"\n },\n {\n \"end\": 1046.92,\n \"probability\": 0.999755859375,\n \"start\": 1046.54,\n \"word\": \"pasos.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.2349380678958721,\n \"end\": \"1048.98\",\n \"speaker\": \"Yusef Jacobs\",\n \"start\": \"1047.4\",\n \"text\": \"Vale. Buenísimo.\",\n \"words\": [\n {\n \"end\": 1047.96,\n \"probability\": 0.96484375,\n \"start\": 1047.4,\n \"word\": \"Vale.\"\n },\n {\n \"end\": 1048.98,\n \"probability\": 0.9376627604166666,\n \"start\": 1048.42,\n \"word\": \"Buenísimo.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.2349380678958721,\n \"end\": \"1052.76\",\n \"speaker\": \"Flor De Anda\",\n \"start\": \"1049.78\",\n \"text\": \"Muchas gracias por el tiempo y un gusto. Bye.\",\n \"words\": [\n {\n \"end\": 1050.34,\n \"probability\": 0.51953125,\n \"start\": 1049.78,\n \"word\": \"Muchas\"\n },\n {\n \"end\": 1050.72,\n \"probability\": 0.99755859375,\n \"start\": 1050.34,\n \"word\": \"gracias\"\n },\n {\n \"end\": 1051,\n \"probability\": 0.998046875,\n \"start\": 1050.72,\n \"word\": \"por\"\n },\n {\n \"end\": 1051.1,\n \"probability\": 0.998046875,\n \"start\": 1051,\n \"word\": \"el\"\n },\n {\n \"end\": 1051.44,\n \"probability\": 1,\n \"start\": 1051.1,\n \"word\": \"tiempo\"\n },\n {\n \"end\": 1051.66,\n \"probability\": 0.8935546875,\n \"start\": 1051.44,\n \"word\": \"y\"\n },\n {\n \"end\": 1051.76,\n \"probability\": 0.99951171875,\n \"start\": 1051.66,\n \"word\": \"un\"\n },\n {\n \"end\": 1051.98,\n \"probability\": 0.9970703125,\n \"start\": 1051.76,\n \"word\": \"gusto.\"\n },\n {\n \"end\": 1052.76,\n \"probability\": 0.98046875,\n \"start\": 1052.2,\n \"word\": \"Bye.\"\n }\n ]\n },\n {\n \"avg_logprob\": -0.262109375,\n \"end\": \"1053.9\",\n \"speaker\": \"Yusef Jacobs\",\n \"start\": \"1053.7\",\n \"text\": \"Bye.\",\n \"words\": [\n {\n \"end\": 1053.9,\n \"probability\": 0.91015625,\n \"start\": 1053.7,\n \"word\": \"Bye.\"\n }\n ]\n }\n ],\n \"template\": {\n \"id\": \"15ec6a7b-aac3-40b5-b0cb-f8438660f178\",\n \"name\": \"Customer Discovery\",\n \"description\": \"Este template se usa para llamadas con prospectos para entender si el prospecto es un buen fit para nosotros y nosotros somos un buen fit para ellos. se enfoca en entender los problemas de los usuarios, el tipo de solución que han explorado, la prioridad que tiene implementar la solución, presupuesto y timeline.\",\n \"organization\": \"a04e475f-64d5-4db7-a6bc-1251a46b0b08\",\n \"owner\": {\n \"id\": \"string\"\n },\n \"editors\": [\n {\n \"id\": \"string\"\n }\n ],\n \"components\": [\n {\n \"id\": \"8be26914-feca-41d6-a7a8-d00865bbc52c\",\n \"name\": \"Summary\",\n \"description\": \"Official Jamy.ai component to generate a summary of the meeting\",\n \"organization_object\": {\n \"name\": \"Jamy\"\n },\n \"component_type\": \"GENERATION\",\n \"owner\": {\n \"id\": \"string\"\n },\n \"editors\": [\n {\n \"id\": \"string\"\n }\n ],\n \"prompt\": {\n \"prompt\": [\n {\n \"name\": \"1. Write a complete summary of the above transcript.\\n2. It should be in paragraph form or continuous prose, not bullet points. Separate each paragraph.\\n3. It is very important to disregard any non-essential chatter or small talk from your summary unless it is directly relevant to the work discussion or decisions. Exclude all conversations related to personal life.\\n4. Small talk usually happens at the beginning or the end of the transcript. Do not include small talk in your summary. Give less importance in your summary to the first and last minutes of the transcript.\\n5. The goal is to produce a thorough and clear summary that provides a very detailed reference to all the main topics, questions raised, tasks assigned, and significant exchanges in the conversation.\\n6. Take into account what each speaker said, based on the speaker labels of the transcript, when creating the summary.\\n7. Make sure you reference the speaker's first name when appropriate and use the appropriate gender for pronouns based on the speaker's name. Only use the first name, not the complete name.\\n8. Write in the same manner of speech as the call participants speak.\\n9. Include all subjects discussed in the call. Even if you just mention one sentence about it. Exclude small talk and personal conversations.\\n10. Details about numbers and figures are particularly important. Include those details in an easy-to-understand way.\\n11. Be very factual and succinct. Do not express topics in a superlative way.\\n12. Do not leave sentences unfinished.\\n13. Be very detailed. Do not just mention topics, add the complete details of each topic to the summary.\\n14. Instead of saying 'The participants said more material needs to be bought' say 'X amount of Y material needs to be bought by Z date and it needs to be stored in W warehouse.'\\n15. Verify that you did not include any small talk in the summary.\",\n \"type\": \"\",\n \"description\": \"\"\n }\n ]\n },\n \"public\": true,\n \"created_date\": \"2024-09-08T21:54:36.335679-06:00\"\n },\n {\n \"id\": \"2d8ca9dd-13f6-4766-afb1-3edf4ef35626\",\n \"name\": \"Preguntas de Customer Discovery\",\n \"description\": \"Preguntas de Customer Discovery para entender si un prospecto es una buena opción para nosotros y si nosotros somos una buena opción para ellos.\",\n \"organization_object\": {\n \"name\": \"Jamy\"\n },\n \"component_type\": \"FORM\",\n \"owner\": {\n \"id\": \"string\"\n },\n \"editors\": [\n {\n \"id\": \"string\"\n }\n ],\n \"prompt\": {\n \"prompt\": [\n {\n \"name\": \"¿Cuáles son los mayores desafíos que enfrenta su empresa?\",\n \"type\": \"long_text\",\n \"description\": \"Busque una descripción detallada que incluya desafíos estratégicos, operativos o de crecimiento. Se valoran menciones a tecnología, mercado, competencia o cambios organizativos.\"\n },\n {\n \"name\": \"¿Qué aspectos son críticos para el éxito del producto o servicio que ofrecemos para su empresa?\",\n \"type\": \"long_text\",\n \"description\": \"Espere una respuesta sobre los beneficios que más valoran, tales como eficiencia, costo, compatibilidad o funcionalidades específicas. Menciones a ROI o mejora de procesos son valiosas.\"\n },\n {\n \"name\": \"¿Por qué su empresa está interesada en nuestro producto o servicio ahora?\",\n \"type\": \"long_text\",\n \"description\": \"Busque razones relacionadas con necesidad urgente, cambios en la empresa, presión competitiva o iniciativas estratégicas. Menciones a plazos o eventos recientes pueden ser relevantes.\"\n },\n {\n \"name\": \"¿Está su empresa considerando otras opciones junto con nosotros?\",\n \"type\": \"long_text\",\n \"description\": \"True si se mencionan competidores o alternativas en la conversación.\"\n },\n {\n \"name\": \"Califique el interés general de su empresa en nuestra propuesta.\",\n \"type\": \"long_text\",\n \"description\": \"Utilice una escala del 1 al 10, donde 10 indica el máximo interés.\"\n },\n {\n \"name\": \"¿Cuándo esperaría ver resultados tras implementar nuestro producto o servicio?\",\n \"type\": \"long_text\",\n \"description\": \"Busque un marco de tiempo específico mencionado en la conversación, usualmente expresado en meses.\"\n }\n ]\n },\n \"public\": false,\n \"created_date\": \"2025-03-13T14:29:26.341436-06:00\"\n }\n ],\n \"tasks_and_topics\": true,\n \"public\": false,\n \"created_date\": \"2025-03-13T14:30:58.454271-06:00\"\n },\n \"report\": [\n {\n \"id\": \"bb966a75-a60b-4c59-9fe9-dcbbaef4862c\",\n \"name\": \"Preguntas de Customer Discovery__Jamy <> Koltin\",\n \"component\": {\n \"id\": \"2d8ca9dd-13f6-4766-afb1-3edf4ef35626\",\n \"component_type\": \"FORM\",\n \"name\": \"Preguntas de Customer Discovery\",\n \"prompt\": {\n \"prompt\": [\n {\n \"name\": \"¿Cuáles son los mayores desafíos que enfrenta su empresa?\",\n \"type\": \"long_text\",\n \"description\": \"Busque una descripción detallada que incluya desafíos estratégicos, operativos o de crecimiento. Se valoran menciones a tecnología, mercado, competencia o cambios organizativos.\"\n },\n {\n \"name\": \"¿Qué aspectos son críticos para el éxito del producto o servicio que ofrecemos para su empresa?\",\n \"type\": \"long_text\",\n \"description\": \"Espere una respuesta sobre los beneficios que más valoran, tales como eficiencia, costo, compatibilidad o funcionalidades específicas. Menciones a ROI o mejora de procesos son valiosas.\"\n },\n {\n \"name\": \"¿Por qué su empresa está interesada en nuestro producto o servicio ahora?\",\n \"type\": \"long_text\",\n \"description\": \"Busque razones relacionadas con necesidad urgente, cambios en la empresa, presión competitiva o iniciativas estratégicas. Menciones a plazos o eventos recientes pueden ser relevantes.\"\n },\n {\n \"name\": \"¿Está su empresa considerando otras opciones junto con nosotros?\",\n \"type\": \"long_text\",\n \"description\": \"True si se mencionan competidores o alternativas en la conversación.\"\n },\n {\n \"name\": \"Califique el interés general de su empresa en nuestra propuesta.\",\n \"type\": \"long_text\",\n \"description\": \"Utilice una escala del 1 al 10, donde 10 indica el máximo interés.\"\n },\n {\n \"name\": \"¿Cuándo esperaría ver resultados tras implementar nuestro producto o servicio?\",\n \"type\": \"long_text\",\n \"description\": \"Busque un marco de tiempo específico mencionado en la conversación, usualmente expresado en meses.\"\n }\n ]\n }\n },\n \"result\": {\n \"result\": [\n {\n \"name\": \"¿Cuáles son los mayores desafíos que enfrenta su empresa?\",\n \"value\": \"\",\n \"quotes\": [],\n \"id\": \"51130cc8-2909-4828-ae71-610f7fa044aa\"\n },\n {\n \"name\": \"¿Qué aspectos son críticos para el éxito del producto o servicio que ofrecemos para su empresa?\",\n \"value\": \"Los aspectos críticos para el éxito del producto en su empresa incluyen la capacidad de generar automáticamente informes de conversaciones y la flexibilidad para personalizar esos informes, adaptándolos a las necesidades específicas como llamadas de ventas, reclutamiento y entrevistas. La integración con herramientas existentes y la capacidad de automatizar procesos también son fundamentales para mejorar la eficiencia operativa y facilitar la recopilación de datos precisos durante encuentros con clientes y candidatos.\",\n \"quotes\": [\n {\n \"quote\": \"Es muy fácil hacerlo o pueden usar reportes estándares.\",\n \"timestamp\": 153.3,\n \"speaker\": \"Adriana Malaret\"\n },\n {\n \"quote\": \"Ustedes pueden personalizar el tipo de reportes que tienen.\",\n \"timestamp\": 213.05,\n \"speaker\": \"Yusef Jacobs\"\n }\n ],\n \"id\": \"303f8200-44da-41d8-9f0e-cd606004b481\"\n },\n {\n \"name\": \"¿Por qué su empresa está interesada en nuestro producto o servicio ahora?\",\n \"value\": \"La empresa muestra interés en el producto debido a su flexibilidad y capacidad de integración con sus herramientas actuales como Aircall, HubSpot, y Sendesk. La necesidad de mejorar la eficiencia en el manejo de informes y la automatización de la recopilación de información durante las llamadas son factores determinantes. Además, la posibilidad de personalizar informes detallados y organizarlos por carpetas para un análisis eficiente de conversaciones resulta crucial para los equipos de ventas y reclutamiento.\",\n \"quotes\": [\n {\n \"quote\": \"Quisiéramos tenerlo en otra plataforma. Usamos HubSpot y Sendesk para servicio.\",\n \"timestamp\": 652.49,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"El más común que ventas y reclutamiento tengan muchas llamadas.\",\n \"timestamp\": 690.46,\n \"speaker\": \"Flor De Anda\"\n }\n ],\n \"id\": \"48dde46b-c909-4baa-b7bd-b683c66acc40\"\n },\n {\n \"name\": \"¿Está su empresa considerando otras opciones junto con nosotros?\",\n \"value\": \"True\",\n \"quotes\": [\n {\n \"quote\": \"Usamos HubSpot y Sendesk para servicio.\",\n \"timestamp\": 652.49,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Entonces, sí lo podrías hacer por folder y ahí puedes agrupar todas las, los reportes que tú quieras.\",\n \"timestamp\": 462.86,\n \"speaker\": \"Yusef Jacobs\"\n }\n ],\n \"id\": \"51a79177-f1f3-491e-9fc7-b9204e04851c\"\n },\n {\n \"name\": \"Califique el interés general de su empresa en nuestra propuesta.\",\n \"value\": \"8\",\n \"quotes\": [\n {\n \"quote\": \"Creo que Adri también.\",\n \"timestamp\": 979.02,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Veo algunos potenciales casos de uso.\",\n \"timestamp\": 999.81,\n \"speaker\": \"Yusef Jacobs\"\n }\n ],\n \"id\": \"0cb8635c-f69b-44fa-af9e-700012627053\"\n },\n {\n \"name\": \"¿Cuándo esperaría ver resultados tras implementar nuestro producto o servicio?\",\n \"value\": \"\",\n \"quotes\": [],\n \"id\": \"0fda9fbe-1865-4816-8a04-10e2447e5381\"\n }\n ],\n \"score\": \"66.7%\"\n },\n \"status\": \"done\",\n \"created_date\": \"2025-04-02T13:21:02.375662-06:00\"\n },\n {\n \"id\": \"f527f54b-f743-4e49-adf5-6438f55e2d00\",\n \"name\": \"Summary__Jamy <> Koltin\",\n \"component\": {\n \"id\": \"8be26914-feca-41d6-a7a8-d00865bbc52c\",\n \"component_type\": \"GENERATION\",\n \"name\": \"Summary\",\n \"prompt\": {\n \"prompt\": [\n {\n \"name\": \"1. Write a complete summary of the above transcript.\\n2. It should be in paragraph form or continuous prose, not bullet points. Separate each paragraph.\\n3. It is very important to disregard any non-essential chatter or small talk from your summary unless it is directly relevant to the work discussion or decisions. Exclude all conversations related to personal life.\\n4. Small talk usually happens at the beginning or the end of the transcript. Do not include small talk in your summary. Give less importance in your summary to the first and last minutes of the transcript.\\n5. The goal is to produce a thorough and clear summary that provides a very detailed reference to all the main topics, questions raised, tasks assigned, and significant exchanges in the conversation.\\n6. Take into account what each speaker said, based on the speaker labels of the transcript, when creating the summary.\\n7. Make sure you reference the speaker's first name when appropriate and use the appropriate gender for pronouns based on the speaker's name. Only use the first name, not the complete name.\\n8. Write in the same manner of speech as the call participants speak.\\n9. Include all subjects discussed in the call. Even if you just mention one sentence about it. Exclude small talk and personal conversations.\\n10. Details about numbers and figures are particularly important. Include those details in an easy-to-understand way.\\n11. Be very factual and succinct. Do not express topics in a superlative way.\\n12. Do not leave sentences unfinished.\\n13. Be very detailed. Do not just mention topics, add the complete details of each topic to the summary.\\n14. Instead of saying 'The participants said more material needs to be bought' say 'X amount of Y material needs to be bought by Z date and it needs to be stored in W warehouse.'\\n15. Verify that you did not include any small talk in the summary.\",\n \"type\": \"\",\n \"description\": \"\"\n }\n ]\n }\n },\n \"result\": {\n \"result\": [\n {\n \"value\": \"Durante la reunión, Yusef se encargó de ofrecer una demostración detallada de las capacidades de la herramienta Jamy a Adriana, Flor y José. Explicó que Jamy puede integrarse en llamadas de Google Meet, Zoom, Teams y WebEx para grabar audio y video, generando posteriormente un reporte completo de la llamada. Este reporte puede ser personalizado para diversas funciones como ventas, entrevistas de productos, o cualquier finalidad específica que el usuario requiera. Los reportes incluyen un resumen, temas principales, y tareas asignadas automáticamente a los responsables, con la posibilidad de integrarse en herramientas como CRM. Además, los reportes pueden incluir formularios personalizados, cuyo contenido Jamy puede completar automáticamente.\\n\\nAdriana preguntó sobre la posibilidad de personalizar Jamy con otras herramientas a través de API o webhooks. Yusef confirmó que esto es posible y mencionó a Aircall como un ejemplo de integración, ya que varios clientes ya lo utilizan. Pueden enviar un enlace de grabación desde Aircall vía un webhook a Jamy, que generará el reporte correspondiente de la grabación. Además, Flor manifestó interés por la capacidad de Jamy de proporcionar análisis más allá de la conversación individual. Yusef explicó que aunque no se puede analizar de manera global todas las llamadas, es posible organizar las grabaciones por carpetas para realizar preguntas sobre todos los informes contenidos en cada carpeta.\\n\\nYusef también destacó que Jamy permite integraciones con plataformas como Slack, donde se puede interactuar con el reporte en un formato tipo chat, haciendo preguntas a base de la información de la llamada. También mostró cómo personalizar plantillas y componentes para que se adapten a las necesidades específicas de informes, lo que resulta útil para distintos escenarios como llamadas de descubrimiento o evaluaciones de clientes.\\n\\nSobre los casos de uso, Yusef comentó que los clientes de Jamy los aplican principalmente en equipos de ventas y reclutamiento, donde hay muchas llamadas que requieren análisis detallados y automatización de tareas. Flor, interesada en características avanzadas como el scoring de conversaciones, recibió de Yusef una explicación de cómo Jamy permite agregar instrucciones específicas para calificar llamadas en función de criterios expuestos durante las mismas.\\n\\nFinalmente, tanto Flor como Adriana mostraron interés en probar Jamy ellos mismos para entender mejor sus capacidades. Yusef se comprometió a enviar un reporte de la reunión a sus correos, el cual podrán explorar sin necesidad de crear una cuenta inicialmente. También mencionaron planear un seguimiento en aproximadamente una semana para discutir sus hallazgos e impresiones tras explorar la herramienta.\"\n }\n ],\n \"score\": null\n },\n \"status\": \"done\",\n \"created_date\": \"2025-04-02T13:21:02.091637-06:00\"\n }\n ],\n \"summary\": null,\n \"tasks\": [\n {\n \"description\": \"Flor y Adriana dedicarán una semana para bajar y revisar sus casos de uso de la herramienta Jamy. Después de esta revisión, se planeará un seguimiento para discutir sus hallazgos y determinar los siguientes pasos a seguir en la implementación de la herramienta.\",\n \"quotes\": [\n {\n \"quote\": \"Sí. Danos una semanita como bajar nuestros user cases para esto, probarlo y, nada, volvemos contigo.\",\n \"timestamp\": 1022.81,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Flor y Adriana revisarán y bajarán sus casos de uso de Jamy.\",\n \"timestamp\": 0,\n \"speaker\": \"\"\n }\n ],\n \"id\": \"93a61341-52d7-472c-863b-c2bf44f65c65\",\n \"task\": \"Flor y Adriana revisarán y bajarán sus casos de uso de Jamy.\",\n \"responsibles\": [\n {\n \"first_name\": \"Flor\",\n \"last_name\": \"De Anda\",\n \"email\": \"jose.delgado@koltin.mx\"\n },\n {\n \"first_name\": \"Adriana\",\n \"last_name\": \"Malaret\",\n \"email\": \"adriana@koltin.mx\"\n }\n ],\n \"status\": \"to_do\"\n },\n {\n \"description\": \"Yusef enviará un correo de seguimiento a Adriana y Flor en una semana para discutir los siguientes pasos después de que ambos hayan tenido tiempo de probar la herramienta Jamy y establecer sus casos de uso específicos.\",\n \"quotes\": [\n {\n \"quote\": \"Danos una semanita como bajar nuestros user cases para esto, probarlo y, nada, volvemos contigo.\",\n \"timestamp\": 1022.81,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Cualquier duda que tengan, ahí estoy por correo. Y si quieren, sí, en una semanita les mando un correo por si quieren dar, para hacer follow up y vemos siguientes pasos.\",\n \"timestamp\": 1034.66,\n \"speaker\": \"Adriana Malaret\"\n }\n ],\n \"id\": \"4ee26f68-8651-4b99-90c9-7f30afa1ae17\",\n \"task\": \"Yusef enviará un correo de seguimiento en una semana.\",\n \"responsibles\": [\n {\n \"first_name\": \"Yusef\",\n \"last_name\": \"Jacobs\",\n \"email\": \"yusef@jamy.ai\"\n }\n ],\n \"status\": \"to_do\"\n },\n {\n \"description\": \"Adriana Malaret y Yusef Jacobs abrirán cuentas en Jamy y realizarán pruebas para entender mejor sus funcionalidades y potenciales casos de uso antes de un seguimiento posterior.\",\n \"quotes\": [\n {\n \"quote\": \"me gustaría a mí darle un vistazo, probarlo y eso. Entonces, ahí me vas a estar viendo, abriendo mi cuenta, Joseph. Creo que Adri también.\",\n \"timestamp\": 962.52,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Sí. Danos una semanita como bajar nuestros user cases para esto, probarlo y, nada, volvemos contigo.\",\n \"timestamp\": 1022.81,\n \"speaker\": \"Yusef Jacobs\"\n }\n ],\n \"id\": \"e744b586-dc1a-456b-b238-63d374e4438f\",\n \"task\": \"Adriana y Yusef abrirán cuentas en Jamy y realizarán pruebas.\",\n \"responsibles\": [\n {\n \"first_name\": \"Adriana\",\n \"last_name\": \"Malaret\",\n \"email\": \"adriana@koltin.mx\"\n },\n {\n \"first_name\": \"Yusef\",\n \"last_name\": \"Jacobs\",\n \"email\": \"yusef@jamy.ai\"\n }\n ],\n \"status\": \"to_do\"\n }\n ],\n \"topics\": [\n {\n \"description\": \"La funcionalidad de generación de reportes de Jamy permite configurar un asistente virtual para unirse a videollamadas, capturar audio y video, y posteriormente generar reportes detallados que pueden incluir resúmenes, temas principales y tareas asignadas. Los usuarios pueden utilizar plantillas estándar o personalizadas, incluso a través de integraciones API con otras herramientas como Aircall. Los reportes generados pueden ser enviados a CRMs como HubSpot, lo que facilita la gestión automatizada de la información en ventas y reclutamiento.\",\n \"quotes\": [\n {\n \"quote\": \"Lo que está haciendo este asistente es que está grabando el audio y el video. Y con eso, después de que termine la llamada, va a generar un reporte de lo que pasó en la llamada.\",\n \"timestamp\": 69.19,\n \"speaker\": \"Flor De Anda\"\n },\n {\n \"quote\": \"Podríamos integrarnos con los dos. Entonces, si ustedes quieren mandar información de reporte a HubSpot porque tuvieron una llamada con clientes y ya me identificó, no sé, tareas que tiene que hacer alguien de su equipo.\",\n \"timestamp\": 656.29,\n \"speaker\": \"Flor De Anda\"\n }\n ],\n \"id\": \"1206bbaf-0286-46e4-9a7c-b3cc2ea9c509\",\n \"topic\": \"Demostración de la funcionalidad de generación de reportes de Jamy.\"\n },\n {\n \"description\": \"La integración de Jamy con herramientas como Aircall, HubSpot y Zendesk permite a los usuarios conectar y automatizar el flujo de información entre estas plataformas y Jamy. Con Aircall, se pueden usar Webhooks para enviar grabaciones a Jamy y generar reportes. Además, Jamy puede integrarse con HubSpot y Zendesk para enviar información de llamadas y tareas automáticamente, facilitando la gestión y actualización de CRM y sistemas de atención al cliente, asegurando que toda la información pertinente esté disponible y organizada adecuadamente.\",\n \"quotes\": [\n {\n \"quote\": \"Sí. Por ejemplo, ¿qué CRM usan ustedes? Usamos HubSpot y Sendesk para servicio.\",\n \"timestamp\": 652.49,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Aircall ya tiene funcionalidad de Webhooks, ¿no? Entonces, ustedes podrían conectar a Aircall un Webhook de Jamy.\",\n \"timestamp\": 163,\n \"speaker\": \"Adriana Malaret\"\n }\n ],\n \"id\": \"653d73da-a34c-4853-916e-3c8a2cc4cbb8\",\n \"topic\": \"Integración de Jamy con herramientas externas como Aircall, HubSpot y Zendesk.\"\n },\n {\n \"description\": \"Jamy se utiliza principalmente en equipos de ventas y reclutamiento para gestionar de manera eficiente las llamadas y automatizar la recopilación de información. En ventas, se usa para analizar las llamadas con clientes y llenar automáticamente los CRM, mientras que en reclutamiento, se emplea en llamadas de screening para llenar ATS automáticamente. Además, se pueden crear componentes personalizados para evaluaciones de candidatos o scorings de posibles ventas.\",\n \"quotes\": [\n {\n \"quote\": \"La verdad es que los más, digo, hay de todo, pero los más comunes son para equipos de ventas y para equipos de reclutamiento.\",\n \"timestamp\": 690.46,\n \"speaker\": \"Flor De Anda\"\n },\n {\n \"quote\": \"Los de ventas lo usan mucho para justo estar analizando. Haciendo llamadas con clientes y recopilar la información de sus clientes, llenarla automáticamente de sus CRM.\",\n \"timestamp\": 690.46,\n \"speaker\": \"Flor De Anda\"\n }\n ],\n \"id\": \"11fdb6fb-0267-4e4d-b102-cb3008a961d6\",\n \"topic\": \"Uso de Jamy para llamadas de ventas y reclutamiento.\"\n },\n {\n \"description\": \"La creación de plantillas personalizadas y componentes en Jamy permite a los usuarios definir exactamente la estructura de los reportes generados a partir de llamadas. Los usuarios pueden crear componentes específicos que se integran en plantillas, facilitando la generación de contenido adaptado a sus necesidades, como preguntas de reclutamiento o componentes de evaluación. Además, Jamy ofrece herramientas para generar automáticamente componentes a partir de descripciones proporcionadas por el usuario, permitiendo una personalización completa del proceso de reporte.\",\n \"quotes\": [\n {\n \"quote\": \"Tú puedes definir tal cual lo que quieres que Jamy genere. Entonces, para estos que les platicaba son reportes tipo generation en vez de form.\",\n \"timestamp\": 844.96,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Puedes crear un componente simplemente describiendo lo que quieres a Jamy. Entonces, yo le digo aquí como, quiero un componente, un formulario para una llamada de un cliente que es reclutador.\",\n \"timestamp\": 213.05,\n \"speaker\": \"Yusef Jacobs\"\n }\n ],\n \"id\": \"949e274f-1ab9-464e-af80-25fb10450b83\",\n \"topic\": \"Creación de plantillas personalizadas y componentes para reportes en Jamy.\"\n },\n {\n \"description\": \"La plataforma Jamy permite la personalización de plantillas para evaluar y generar puntuaciones en reuniones. Los usuarios pueden definir criterios específicos para influir en el scoring, utilizando instrucciones claras para que Jamy las procese automatizadamente. Esta flexibilidad ofrece a usuarios como vendedores y reclutadores adaptar los reportes a sus necesidades individuales y profesionales.\",\n \"quotes\": [\n {\n \"quote\": \"Para estos que les platicaba son reportes tipo generation en vez de form. Entonces, para un reporte tipo generation, tú puedes darle a Jamy instrucciones.\",\n \"timestamp\": 844.96,\n \"speaker\": \"Yusef Jacobs\"\n },\n {\n \"quote\": \"Puedes generarlo, evaluaciones, puedes generar también, por ejemplo, algo que usan mucho los vendedores, es que generan una, como un score de la llamada.\",\n \"timestamp\": 690.46,\n \"speaker\": \"Flor De Anda\"\n }\n ],\n \"id\": \"2baeba1d-da3b-4b4e-b05d-762ec6536ffa\",\n \"topic\": \"Posibilidad de usar criterios personalizados para evaluación y scoring en las reuniones.\"\n }\n ]\n}"}],"_postman_id":"ed788b10-15d7-4420-82b3-ecd27a4cb63b"}],"id":"708818f6-f23e-45be-a8d7-144af25ea22d","description":"Reports can be created from mp3, mp4, mpeg, mpga, m4a, wav, and webm files. Jamy will create a text transcript of the audio and generate all content according to the specified Template, if any. If no Template is specified, Jamy will use the Standard Meeting Template. Which includes Summary, Topics and Tasks.
Embeddings of the transcript are created as well to enable chat with the Report. The question-answer flow is handle with the Questions request.
\nReport creation is an async process. After you've created the Report, the response will include an id, which you need to safely store. Immediately after the Report is created, the object will have a processing status. You can check the status of the Report by calling the Get Report request.
Once the status is processed, the Report object will include all fields.
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Unique bot id","type":"text","disabled":true},{"key":"meeting","value":"None","contentType":"string","description":"(string) Optional. Unique Report ID of the Report you want to ask questions about.","type":"text"},{"key":"user","value":"user_id","contentType":"string","description":"Optionak. User ID of the User asking the question.","type":"text","disabled":true}],"options":{"raw":{"language":"json"}}},"url":"https://api.jamy.ai/v1/questions/"},"code":201,"_postman_previewlanguage":"Text","header":[],"cookie":[],"responseTime":null,"body":"{\n \"id\": \"5975ea84-e4ca-4614-944f-f3fd2f6f8c9e\",\n \"question\": \"What was the meeting about?\",\n \"answer\": \"The meeting was about the demonstration and discussion of the Jamy tool, which is used for facilitating and enhancing telecommunication processes. Participants discussed using Jamy for making phone calls and generating comprehensive reports from these calls, including transcripts, summaries, and key discussion points. Jamy can integrate with platforms like Google Meet, Zoom, and others to capture audio and video content, and it allows customization through APIs and templates for generating personalized reports. The tool can connect with services like Aircall via Webhooks and integrate with CRMs like HubSpot and Zendesk. The potential use cases discussed included sales and recruitment, allowing teams to automate data entry and follow-ups after calls. Participants expressed interest in testing out the platform.\",\n \"clip\": null,\n \"context\": \"|||Participants:\\n- adriana@koltin.mx\\n- yusef@jamy.ai\\n- jose.delgado@koltin.mx\\n- flor.deanda@koltin.mx\\nTranscript:|||\\nYusef Jacobs (1.01): Adriana. Hola, ¿qué tal? Yusef, un gusto. Igualmente, ¿cómo estás? Bien, bien. Qué bueno, qué bueno. ¿Esperamos a alguien más de su lado? No. Va, buenísimo. Creo que Edu no les dio tanto contexto, ¿verdad? ¿O sí tienen un poco de contexto de la herramienta? Más o menos. Lo que pudimos ver desde tu landing. Ah, ya. Buenísimo. Buenísimo. Entonces, digo, no sé si de ahí tienen alguna pregunta que quieran ir haciendo de una vez. Les puedo hacer un demo también de lo que tenemos. Y también les puedo enseñar el feature que yo le platiqué a Edu, que creo que fue el que más le interesó, fue el de llamadas telefónicas, que permite hacer llamadas telefónicas desde Jamy y generar reportes de las llamadas con la grabación y demás. Y ahorita también les puedo enseñar un poco cómo funciona. Pero no sé si de lo que vieron tienen alguna... No sé si de lo que vieron tienen alguna pregunta que quieran ir revisando. Flor De Anda (62.31): No, pues si quieres puedes avanzar con el demo, sobre todo lo que comentabas. Yo creo que salen un par de cosas por allá. Flor De Anda (69.19): Buenísimo. Les voy a compartir pantalla. Entonces, bueno, primero, como ya vieron, se unió un asistente, mi asistente aquí a esta llamada. Básicamente, como Jamy funciona, es que ustedes pueden configurar que un asistente se une a sus llamadas de Google Meet, Zoom, Teams, WebEx. Son las que incluimos ahorita. Y lo que está haciendo este asistente es que está grabando el audio y el video. Y con eso, después de que termine la llamada, va a generar un reporte de lo que pasó en la llamada. El reporte puede ser estándar, como por ejemplo, ahorita se los enseño, incluir un resumen, incluir temas principales, tareas. O ustedes también pueden crear reportes personalizados para algo en específico que quieran utilizar. No sé, por ejemplo, una llamada de ventas. Entonces, tienen un template o un reporte específico para ventas. Una llamada de producto y específico para ventas. Una llamada de entrevistas con clientes y es específicamente un reporte de entrevistas con clientes. Entonces, pueden personalizar el tipo de reportes que tienen y es muy fácil hacerlo o pueden usar reportes estándares. Yusef Jacobs (140.85): Sí, dime, Adriana. Yusef Jacobs (142.39): Yo tengo una pregunta. ¿Tienes alguna API o forma que nosotros podamos personalizar las herramientas que conectemos con Jamy? Adriana Malaret (153.3): Sí. Entonces, ¿en qué estás pensando? ¿Ustedes ya usan alguna herramienta que genere una grabación de una llamada, por ejemplo? Yusef Jacobs (161.94): Aircall. Adriana Malaret (163.0): Ok. Sí, de hecho, varios de nuestros clientes usan Aircall. Entonces, lo que podríamos hacer es, Aircall ya tiene funcionalidad de Webhooks, ¿no? Entonces, ustedes podrían conectar a Aircall un Webhook de Jamy a donde nos mandan un link de una grabación y nosotros generamos un reporte de esa grabación. Entonces, sí. Sin duda se podría hacer. Yusef Jacobs (186.9): Les voy a enseñar los reportes, cómo funcionan o cómo se ven para que tengan una idea. Un segundo. Y ahorita les enseño también cómo personalizarlos. Aquí ya no van a ver mi pantalla. Es que se abrió el reporte en una pantalla aparte de un segundo. Les comparto toda mi... Yusef Jacobs (213.05): Ahí está. Entonces, por ejemplo, esta es una llamada que yo tuve con un cliente potencial que son reclutadores. Así usan Jamy para sus llamadas de screening con candidatos. Entonces, este es el reporte que generó Jamy. Como pueden ver, tiene varios como componentes. El reporte tiene un resumen, tienen un formulario específico que yo agregué como para analizar retos de empresas de reclutamiento. Este yo lo agregué manual. Ahorita les enseño cómo crear sus propios como componentes y templates. Entonces, Jamy llena las respuestas. Tiene una sección de temas principales y la sección de tareas que se tienen que hacer. Las tareas... Las tareas las asigna automáticamente a la persona que las tiene que hacer y ustedes también pueden integrar la funcionalidad de tareas con alguna herramienta que usen como un CRM, por ejemplo. Para los temas y las tareas pueden tener un detalle específico de cuál es el tema tal cual, de dónde sacó Jamy, qué es ser un tema específico, qué punto del video y quotes. Lo mismo con tareas, por ejemplo, para que sepan bien de qué se trata la tarea. Y lo mismo. Lo mismo con las respuestas que llena de un formulario personalizado que ustedes pueden crear. Todo esto lo pueden editar y después lo pueden mandar por correo, por Slack. También tenemos integraciones. Obvio, pueden ver el video y el transcript Word for the World. Entonces, pueden ir trackeando qué es lo que dijo cada quien. Y pueden descargar el transcript si quisieran también. Y algo que también les ofrecemos es que haz de cuenta que tenemos un chat que es como un chat GPT entrenado. Con el contenido de la llamada. Entonces, en este chat ustedes le pueden hacer cualquier pregunta a Jamy sobre la llamada y les va a contestar con la información de lo que se dijo. Esa funcionalidad de chat también la pueden tener en Slack. Entonces, pueden integrar Jamy con Slack. Es como instalar una app en Slack. Y una vez que mandan reportes como este que les enseñé a Slack, pueden hacerle preguntas a Jamy ahí y les contesta en un hilo como si fuera otra persona de su equipo. Ya si quieren hacer como reportes un poco más. Y después de haber avanzado, después de que se haya creado el reporte, si les hizo falta algo, pueden crear un componente adicional. Entonces, no sé si quieren, además de las preguntas de análisis de retros del reclutamiento, pueden agregar preguntas de Customer Discovery. Por ejemplo, Jamy llena las respuestas a esas preguntas de forma automática. Ahorita les enseño cómo crear estos templates personalizados para que se ajusten a sus necesidades. Hasta ahorita, ¿tienen alguna pregunta? Flor De Anda (374.33): Sí, ahorita digo como que el análisis y el reporting, por lo que veo, lo estamos mirando a nivel conversación. Decías incluso, bueno, si quiero hacer una pregunta sobre esto. Entonces, sobre llamada, viene el reporte y viene un análisis. O sea, mi duda es si, o sea, a nivel general, podría yo preguntar cosas sobre todas las llamadas. Ejemplo, oye, en todas las llamadas presentadas. Me preguntaron por X cosa y que me conteste algo como, ah, solo el 50% de las llamadas se habló de esto. Flor De Anda (411.63): No sé. Ya. Sí, entiendo a lo que te refieres. Hay algo similar que ahorita se puede hacer, no tan general de todas las llamadas, pero puedes hacer, puedes crear folders de llamadas, o sea, como folders para organizar tus llamadas. Yo aquí tengo algunos ejemplos. Digamos, creas un folder de finanzas, por ejemplo. Y tienes un chat que está entre. Entonces, le podrías hacer preguntas como esa que acabas de decir a todas las, o sea, con respecto a todas las llamadas que estén dentro de ese folder. Entonces, sí lo puedes hacer por folder y ahí puedes agrupar todas las, los reportes que tú quieras. General de todas las llamadas que has tenido, no, pero lo podrías hacer por folder. Yusef Jacobs (456.4): Ok, mientras estén agrupadas en un folder, le puedo preguntar sobre la actividad de ese folder en específico, ¿no? Yusef Jacobs (462.86): Exacto, exactamente. Y en cuanto a video, en cuanto a llamadas telefónicas, este, ven, este reporte que les acabo de enseñar fue una videollamada, ¿no? Pueden tener reportes igualitos a ese, pero de llamadas telefónicas que hagan ustedes desde Jamy, las pueden hacer desde Jamy, o de llamadas telefónicas que hayan hecho, por ejemplo, en Aircall y que nos pasen por API. Nosotros les generamos un reporte como el que les acabo de enseñar, ¿va? Y por último, les enseño, les platico. Un poco lo de los templates personalizados. Entonces, ustedes pueden crear como justo plantillas de llamadas, dependiendo cada una de las necesidades que tienen. Las plantillas están hechas de componentes. Haz de cuenta que la sección de Summary, la sección de Discovery Call, son componentes que yo creo. Entonces, por ejemplo, vamos a entrar a ese de preguntas de reclutamiento. Aquí está. Entonces, estas son las preguntas que yo definí, que yo hago en una llamada cuando estoy analizando a un potencial cliente de reclutamiento. Todas estas, en realidad, no las hice yo. Puedes crear un componente simplemente describiendo lo que quieres a Jamy. Entonces, yo le digo aquí como, quiero un componente, un formulario para una llamada de un cliente que es reclutador y está analizando usar Jamy, bla, bla, bla. Y Jamy me genera justamente un componente con el que les acabo de enseñar, ¿no? Entonces, te genera esto. Y básicamente, después lo que haces es que ya que tienes tus componentes, los que tú quieres, los agregas a un template. Entonces, por ejemplo, podemos, yo les voy a enseñar aquí un template de Customer Discovery, ¿no? En el template de Customer Discovery, las secciones que quiero son Summary, Preguntas de Discovery y Tasks and Topics. Entonces, ustedes pueden ir creando sus componentes con ayuda de Jamy. No tienen que escribir nada a mano. Y después los agrupan en un template y así tienen como plantillas personalizadas que Jamy va a generar contenido para cada uno de esos componentes, según lo que ustedes hayan definido. Entonces, así pueden tener reportes que se adaptan exactamente a lo que ustedes necesitan, dependiendo el tipo de llamadas que tengan, ¿no? Y listo. Bueno, además de todo esto que les enseñé y lo que ya platicamos del API, que ustedes pueden generar reportes por API, también pueden hacerlo al revés, ¿no? Entonces, nosotros tenemos también una funcionalidad de Webhooks en donde si genero un reporte, después se los puedo mandar a donde ustedes quieran, ¿no? Tal vez les puedo mandar el reporte a un... A un CRM para que ustedes llenen la información o a alguna plataforma para que tengan toda la información que el reporte generó. Entonces, también lo podemos hacer de los dos lados. Y listo. Eso es un poco la plataforma. La solución, ¿tienen alguna pregunta? Yusef Jacobs (631.15): Buenísimo. Flor De Anda (632.49): Sí. Flor De Anda (635.55): También, así como lo podemos traer desde Aircode, también lo podemos mandar a otro lado, ¿no? Con Webhooks, como decías. O sea, si quisiéramos tenerlo en otra plataforma. O sea, sí. Flor De Anda (648.04): Sí. Por ejemplo, ¿qué CRM usan ustedes? Yusef Jacobs (652.49): Usamos HubSpot y Sendesk para servicio. Flor De Anda (656.29): Perfecto. Entonces, sí. Podríamos integrarnos con los dos. Entonces, si ustedes quieren mandar información de reporte a HubSpot porque tuvieron una llamada con clientes y ya me identificó, no sé, tareas que tiene que hacer alguien de su equipo con respecto a ese cliente, podemos mandar la información a HubSpot para que la información de la llamada se llene en el perfil del cliente, por ejemplo. Entonces, sí. Podemos. Podemos hacer esas integraciones. Yusef Jacobs (680.49): Ok. Oye, y por pura interés, ¿qué casos de uso tienen tus clientes hoy? O sea, la gente que lo está usando, ¿para qué lo aplica? Flor De Anda (690.46): Sí. Entonces, la verdad es que los más, digo, hay de todo, pero los más comunes son para equipos de ventas y para equipos de reclutamiento. Entonces, son los que más llamadas tienen todo el tiempo. Muy común que ventas y reclutamiento tengan muchas llamadas. Entonces, los de ventas lo usan mucho para justo estar analizando. Haciendo llamadas con clientes y recopilar la información de sus clientes, llenarla automáticamente de sus CRM, pero también mandar los reportes a los clientes para hacer follow up más específico y que el cliente tenga toda la información de forma automática. Los reclutadores lo usan mucho para llamadas de screening. Entonces, para que el reclutador no tenga que estar todo el tiempo llenando la información del candidato en un ATS, en un tracker de aplicantes, simplemente hace las preguntas de reclutamiento y se llenan automáticamente. En el ATS, algo que no les enseñé, pero que también lo usan mucho, por ejemplo, los vendedores y los reclutadores, es que además de poder crear componentes estos que les enseñé, que son formularios como pregunta y respuesta, puedes crear componentes que generen texto de acuerdo a unas instrucciones. Entonces, por ejemplo, algo que usan mucho los reclutadores es generan un componente que es evaluación del nivel de un candidato. Entonces, tú le puedes decir a Jamy como tomando en cuenta lo que se dijo en la llamada. Entonces, tú le puedes decir a Jamy como tomando en cuenta lo que se dijo en la llamada. Y las respuestas del candidato, dime cuál es el nivel del candidato, junior, senior, mediano, tomando en cuenta, no sé, los estándares de la industria y ciertos criterios que yo le digo. Entonces, Jamy automáticamente te genera como, pues este candidato es junior. Entonces, le llena, o sea, puedes generar como evaluaciones, puedes generar también, por ejemplo, algo que usan mucho los vendedores, es que generan una, como un score de la llamada. Para entender qué tan probable es que el cliente vaya a comprar el producto, ¿no? Entonces, tomando en cuenta lo que dijo el cliente, ¿sabes? Y puedes generar eso en automático, que normalmente son cosas que tienes que llenar en un, en tu CRM o en el caso de los reclutadores en una TS y aquí te lo genera solo. Entonces, yo diría que esos son los dos casos más comunes, reclutadores y vendedores, pero hay un poco de todo. Yusef Jacobs (824.51): Ok, para ese tipo de cosas que comentas, no sé, el caso específico del scoring, ¿no? Este, ¿le puedes agregar como que ciertos criterios de prioriza si dicen esto, este, quítale puntos si dicen esto? ¿Sí se puede? Flor De Anda (838.39): Sí, sí, o sea, mira, te voy a compartir pantalla otra vez. Yusef Jacobs (844.96): Entonces, tú puedes definir, esa es la, como la gran flexibilidad de lo que da nuestra funcionalidad de report creator. Tú puedes definir tal cual lo que quieres que Jamy genere. Entonces, para estos que les platicaba son reportes tipo generation en vez de form. Entonces, para un reporte tipo generation, tú puedes darle a Jamy instrucciones. Entonces, no sé, le puedes decir un poco, digo, también lo podrías crear automáticamente aquí, pero vamos a hacerlo manual para que vean cómo funciona. Entonces, este, no sé, tomando, tomando en cuenta el nivel de inglés del candidato, dame un score del 1 al 10. No sé, este es algo muy sencillo, muy, muy tonto. Pero podrías decirlo. Es decir, este, toma en cuentas y usa, este, palabras, palabras técnicas en inglés para quitar o agregar puntos. No sé, estoy agregando cualquier cosa que se me está ocurriendo, pero para que se haya una idea de, tú puedes darle como las instrucciones que quieras. Entonces, eso que estás diciendo, Flor, podrías decir como, si dijeron esto, quita puntos. Si dijeron esto otro, agrega puntos. Este. Evalúa el score tomando en cuenta estos criterios. Entonces, todo lo agregas como instrucciones. Entonces, Jamy va a generar un score o una evaluación tomando en cuenta esas instrucciones. Yusef Jacobs (939.66): Y así, pues, ustedes pueden generar, literar lo que quieran, ¿no? Pueden hacerlo manual como yo lo hice o con la funcionalidad esta de aquí de Generate Components, solo describen lo que quieren, más o menos lo que están buscando. Y les va a generar algo Jamy para que no emprecien desde cero y ya después pueden editarlo para ajustarlo. O tal cual a lo que ustedes busquen. Yusef Jacobs (962.52): Buenísimo. Yo, para mí, claro, yo creo que, o sea, me gustaría a mí darle un vistazo, probarlo y eso. Entonces, ahí me vas a estar viendo, abriendo mi cuenta, Joseph. Creo que Adri también. Yusef Jacobs (979.02): Buenísimo. Pues, también después de esta llamada, pues, se va a generar un reporte y les va a llegar por correo y pueden acceder al reporte sin crear una cuenta, porque ustedes están invitadas a esta llamada. Y ahí pueden jugar un poco. Con el reporte para hacer preguntas y demás. Y, digo, igual pueden crear su cuenta ya para conectar su propio asistente. Yusef Jacobs (999.81): No, qué buenísimo, Joseph. Este, yo, o sea, no sé si coincides, Adri, veo algunos potenciales casos de uso. Me gustaría, creo que hacer pruebas directas, como dices, para entenderle, ¿no? Mejor, más allá de todo lo que nos has comentado. Y, pues, nada, pues, si quieres, tengamos un follow up. ¿Cómo es, Adri? Yusef Jacobs (1022.81): Sí. Sí. Danos una semanita como bajar nuestros user cases para esto, probarlo y, nada, volvemos contigo. Adriana Malaret (1034.66): Buenísimo. Cualquier duda que tengan, ahí estoy por correo. Y si quieren, sí, en una semanita les mando un correo por si quieren dar, para hacer follow up y vemos siguientes pasos. Yusef Jacobs (1047.4): Vale. Buenísimo. Flor De Anda (1049.78): Muchas gracias por el tiempo y un gusto. Bye. Yusef Jacobs (1053.7): Bye. \",\n \"answer_certainty\": 70.70530920061786,\n \"instructions\": [\n \"Answer factually in less than 100 words.\"\n ],\n \"bot\": \"string\",\n \"meeting\": \"24419e9d-ec49-4828-a7ec-944349f7c1a8\",\n \"user\": \"string\",\n \"slack_user\": null,\n \"whatsapp_user\": null,\n \"created_date\": \"2025-04-04T04:55:02.990080-06:00\",\n \"user_name\": \"Yusef Jacobs\"\n}"}],"_postman_id":"ed9756d5-68c3-4515-bae0-6c39ac1fbada"},{"name":"Get Question","id":"b0714d22-3bf7-406a-94ea-96cda186513f","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[{"key":"x-api-key","value":"{{api_key}}","description":"API Key based Authorization. Create an API KEY for that user using the Create APIKey request.
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Create an API KEY for that user using the Create APIKey request.","type":"text"}],"url":"https://api.jamy.ai/v1/questions/{question_id}/"},"code":200,"_postman_previewlanguage":"Text","header":[],"cookie":[],"responseTime":null,"body":"{\n \"id\": \"5975ea84-e4ca-4614-944f-f3fd2f6f8c9e\",\n \"question\": \"What was the meeting about?\",\n \"answer\": \"The meeting was about the demonstration and discussion of the Jamy tool, which is used for facilitating and enhancing telecommunication processes. Participants discussed using Jamy for making phone calls and generating comprehensive reports from these calls, including transcripts, summaries, and key discussion points. Jamy can integrate with platforms like Google Meet, Zoom, and others to capture audio and video content, and it allows customization through APIs and templates for generating personalized reports. The tool can connect with services like Aircall via Webhooks and integrate with CRMs like HubSpot and Zendesk. The potential use cases discussed included sales and recruitment, allowing teams to automate data entry and follow-ups after calls. Participants expressed interest in testing out the platform.\",\n \"clip\": null,\n \"context\": \"|||Participants:\\n- adriana@koltin.mx\\n- yusef@jamy.ai\\n- jose.delgado@koltin.mx\\n- flor.deanda@koltin.mx\\nTranscript:|||\\nYusef Jacobs (1.01): Adriana. Hola, ¿qué tal? Yusef, un gusto. Igualmente, ¿cómo estás? Bien, bien. Qué bueno, qué bueno. ¿Esperamos a alguien más de su lado? No. Va, buenísimo. Creo que Edu no les dio tanto contexto, ¿verdad? ¿O sí tienen un poco de contexto de la herramienta? Más o menos. Lo que pudimos ver desde tu landing. Ah, ya. Buenísimo. Buenísimo. Entonces, digo, no sé si de ahí tienen alguna pregunta que quieran ir haciendo de una vez. Les puedo hacer un demo también de lo que tenemos. Y también les puedo enseñar el feature que yo le platiqué a Edu, que creo que fue el que más le interesó, fue el de llamadas telefónicas, que permite hacer llamadas telefónicas desde Jamy y generar reportes de las llamadas con la grabación y demás. Y ahorita también les puedo enseñar un poco cómo funciona. Pero no sé si de lo que vieron tienen alguna... No sé si de lo que vieron tienen alguna pregunta que quieran ir revisando. Flor De Anda (62.31): No, pues si quieres puedes avanzar con el demo, sobre todo lo que comentabas. Yo creo que salen un par de cosas por allá. Flor De Anda (69.19): Buenísimo. Les voy a compartir pantalla. Entonces, bueno, primero, como ya vieron, se unió un asistente, mi asistente aquí a esta llamada. Básicamente, como Jamy funciona, es que ustedes pueden configurar que un asistente se une a sus llamadas de Google Meet, Zoom, Teams, WebEx. Son las que incluimos ahorita. Y lo que está haciendo este asistente es que está grabando el audio y el video. Y con eso, después de que termine la llamada, va a generar un reporte de lo que pasó en la llamada. El reporte puede ser estándar, como por ejemplo, ahorita se los enseño, incluir un resumen, incluir temas principales, tareas. O ustedes también pueden crear reportes personalizados para algo en específico que quieran utilizar. No sé, por ejemplo, una llamada de ventas. Entonces, tienen un template o un reporte específico para ventas. Una llamada de producto y específico para ventas. Una llamada de entrevistas con clientes y es específicamente un reporte de entrevistas con clientes. Entonces, pueden personalizar el tipo de reportes que tienen y es muy fácil hacerlo o pueden usar reportes estándares. Yusef Jacobs (140.85): Sí, dime, Adriana. Yusef Jacobs (142.39): Yo tengo una pregunta. ¿Tienes alguna API o forma que nosotros podamos personalizar las herramientas que conectemos con Jamy? Adriana Malaret (153.3): Sí. Entonces, ¿en qué estás pensando? ¿Ustedes ya usan alguna herramienta que genere una grabación de una llamada, por ejemplo? Yusef Jacobs (161.94): Aircall. Adriana Malaret (163.0): Ok. Sí, de hecho, varios de nuestros clientes usan Aircall. Entonces, lo que podríamos hacer es, Aircall ya tiene funcionalidad de Webhooks, ¿no? Entonces, ustedes podrían conectar a Aircall un Webhook de Jamy a donde nos mandan un link de una grabación y nosotros generamos un reporte de esa grabación. Entonces, sí. Sin duda se podría hacer. Yusef Jacobs (186.9): Les voy a enseñar los reportes, cómo funcionan o cómo se ven para que tengan una idea. Un segundo. Y ahorita les enseño también cómo personalizarlos. Aquí ya no van a ver mi pantalla. Es que se abrió el reporte en una pantalla aparte de un segundo. Les comparto toda mi... Yusef Jacobs (213.05): Ahí está. Entonces, por ejemplo, esta es una llamada que yo tuve con un cliente potencial que son reclutadores. Así usan Jamy para sus llamadas de screening con candidatos. Entonces, este es el reporte que generó Jamy. Como pueden ver, tiene varios como componentes. El reporte tiene un resumen, tienen un formulario específico que yo agregué como para analizar retos de empresas de reclutamiento. Este yo lo agregué manual. Ahorita les enseño cómo crear sus propios como componentes y templates. Entonces, Jamy llena las respuestas. Tiene una sección de temas principales y la sección de tareas que se tienen que hacer. Las tareas... Las tareas las asigna automáticamente a la persona que las tiene que hacer y ustedes también pueden integrar la funcionalidad de tareas con alguna herramienta que usen como un CRM, por ejemplo. Para los temas y las tareas pueden tener un detalle específico de cuál es el tema tal cual, de dónde sacó Jamy, qué es ser un tema específico, qué punto del video y quotes. Lo mismo con tareas, por ejemplo, para que sepan bien de qué se trata la tarea. Y lo mismo. Lo mismo con las respuestas que llena de un formulario personalizado que ustedes pueden crear. Todo esto lo pueden editar y después lo pueden mandar por correo, por Slack. También tenemos integraciones. Obvio, pueden ver el video y el transcript Word for the World. Entonces, pueden ir trackeando qué es lo que dijo cada quien. Y pueden descargar el transcript si quisieran también. Y algo que también les ofrecemos es que haz de cuenta que tenemos un chat que es como un chat GPT entrenado. Con el contenido de la llamada. Entonces, en este chat ustedes le pueden hacer cualquier pregunta a Jamy sobre la llamada y les va a contestar con la información de lo que se dijo. Esa funcionalidad de chat también la pueden tener en Slack. Entonces, pueden integrar Jamy con Slack. Es como instalar una app en Slack. Y una vez que mandan reportes como este que les enseñé a Slack, pueden hacerle preguntas a Jamy ahí y les contesta en un hilo como si fuera otra persona de su equipo. Ya si quieren hacer como reportes un poco más. Y después de haber avanzado, después de que se haya creado el reporte, si les hizo falta algo, pueden crear un componente adicional. Entonces, no sé si quieren, además de las preguntas de análisis de retros del reclutamiento, pueden agregar preguntas de Customer Discovery. Por ejemplo, Jamy llena las respuestas a esas preguntas de forma automática. Ahorita les enseño cómo crear estos templates personalizados para que se ajusten a sus necesidades. Hasta ahorita, ¿tienen alguna pregunta? Flor De Anda (374.33): Sí, ahorita digo como que el análisis y el reporting, por lo que veo, lo estamos mirando a nivel conversación. Decías incluso, bueno, si quiero hacer una pregunta sobre esto. Entonces, sobre llamada, viene el reporte y viene un análisis. O sea, mi duda es si, o sea, a nivel general, podría yo preguntar cosas sobre todas las llamadas. Ejemplo, oye, en todas las llamadas presentadas. Me preguntaron por X cosa y que me conteste algo como, ah, solo el 50% de las llamadas se habló de esto. Flor De Anda (411.63): No sé. Ya. Sí, entiendo a lo que te refieres. Hay algo similar que ahorita se puede hacer, no tan general de todas las llamadas, pero puedes hacer, puedes crear folders de llamadas, o sea, como folders para organizar tus llamadas. Yo aquí tengo algunos ejemplos. Digamos, creas un folder de finanzas, por ejemplo. Y tienes un chat que está entre. Entonces, le podrías hacer preguntas como esa que acabas de decir a todas las, o sea, con respecto a todas las llamadas que estén dentro de ese folder. Entonces, sí lo puedes hacer por folder y ahí puedes agrupar todas las, los reportes que tú quieras. General de todas las llamadas que has tenido, no, pero lo podrías hacer por folder. Yusef Jacobs (456.4): Ok, mientras estén agrupadas en un folder, le puedo preguntar sobre la actividad de ese folder en específico, ¿no? Yusef Jacobs (462.86): Exacto, exactamente. Y en cuanto a video, en cuanto a llamadas telefónicas, este, ven, este reporte que les acabo de enseñar fue una videollamada, ¿no? Pueden tener reportes igualitos a ese, pero de llamadas telefónicas que hagan ustedes desde Jamy, las pueden hacer desde Jamy, o de llamadas telefónicas que hayan hecho, por ejemplo, en Aircall y que nos pasen por API. Nosotros les generamos un reporte como el que les acabo de enseñar, ¿va? Y por último, les enseño, les platico. Un poco lo de los templates personalizados. Entonces, ustedes pueden crear como justo plantillas de llamadas, dependiendo cada una de las necesidades que tienen. Las plantillas están hechas de componentes. Haz de cuenta que la sección de Summary, la sección de Discovery Call, son componentes que yo creo. Entonces, por ejemplo, vamos a entrar a ese de preguntas de reclutamiento. Aquí está. Entonces, estas son las preguntas que yo definí, que yo hago en una llamada cuando estoy analizando a un potencial cliente de reclutamiento. Todas estas, en realidad, no las hice yo. Puedes crear un componente simplemente describiendo lo que quieres a Jamy. Entonces, yo le digo aquí como, quiero un componente, un formulario para una llamada de un cliente que es reclutador y está analizando usar Jamy, bla, bla, bla. Y Jamy me genera justamente un componente con el que les acabo de enseñar, ¿no? Entonces, te genera esto. Y básicamente, después lo que haces es que ya que tienes tus componentes, los que tú quieres, los agregas a un template. Entonces, por ejemplo, podemos, yo les voy a enseñar aquí un template de Customer Discovery, ¿no? En el template de Customer Discovery, las secciones que quiero son Summary, Preguntas de Discovery y Tasks and Topics. Entonces, ustedes pueden ir creando sus componentes con ayuda de Jamy. No tienen que escribir nada a mano. Y después los agrupan en un template y así tienen como plantillas personalizadas que Jamy va a generar contenido para cada uno de esos componentes, según lo que ustedes hayan definido. Entonces, así pueden tener reportes que se adaptan exactamente a lo que ustedes necesitan, dependiendo el tipo de llamadas que tengan, ¿no? Y listo. Bueno, además de todo esto que les enseñé y lo que ya platicamos del API, que ustedes pueden generar reportes por API, también pueden hacerlo al revés, ¿no? Entonces, nosotros tenemos también una funcionalidad de Webhooks en donde si genero un reporte, después se los puedo mandar a donde ustedes quieran, ¿no? Tal vez les puedo mandar el reporte a un... A un CRM para que ustedes llenen la información o a alguna plataforma para que tengan toda la información que el reporte generó. Entonces, también lo podemos hacer de los dos lados. Y listo. Eso es un poco la plataforma. La solución, ¿tienen alguna pregunta? Yusef Jacobs (631.15): Buenísimo. Flor De Anda (632.49): Sí. Flor De Anda (635.55): También, así como lo podemos traer desde Aircode, también lo podemos mandar a otro lado, ¿no? Con Webhooks, como decías. O sea, si quisiéramos tenerlo en otra plataforma. O sea, sí. Flor De Anda (648.04): Sí. Por ejemplo, ¿qué CRM usan ustedes? Yusef Jacobs (652.49): Usamos HubSpot y Sendesk para servicio. Flor De Anda (656.29): Perfecto. Entonces, sí. Podríamos integrarnos con los dos. Entonces, si ustedes quieren mandar información de reporte a HubSpot porque tuvieron una llamada con clientes y ya me identificó, no sé, tareas que tiene que hacer alguien de su equipo con respecto a ese cliente, podemos mandar la información a HubSpot para que la información de la llamada se llene en el perfil del cliente, por ejemplo. Entonces, sí. Podemos. Podemos hacer esas integraciones. Yusef Jacobs (680.49): Ok. Oye, y por pura interés, ¿qué casos de uso tienen tus clientes hoy? O sea, la gente que lo está usando, ¿para qué lo aplica? Flor De Anda (690.46): Sí. Entonces, la verdad es que los más, digo, hay de todo, pero los más comunes son para equipos de ventas y para equipos de reclutamiento. Entonces, son los que más llamadas tienen todo el tiempo. Muy común que ventas y reclutamiento tengan muchas llamadas. Entonces, los de ventas lo usan mucho para justo estar analizando. Haciendo llamadas con clientes y recopilar la información de sus clientes, llenarla automáticamente de sus CRM, pero también mandar los reportes a los clientes para hacer follow up más específico y que el cliente tenga toda la información de forma automática. Los reclutadores lo usan mucho para llamadas de screening. Entonces, para que el reclutador no tenga que estar todo el tiempo llenando la información del candidato en un ATS, en un tracker de aplicantes, simplemente hace las preguntas de reclutamiento y se llenan automáticamente. En el ATS, algo que no les enseñé, pero que también lo usan mucho, por ejemplo, los vendedores y los reclutadores, es que además de poder crear componentes estos que les enseñé, que son formularios como pregunta y respuesta, puedes crear componentes que generen texto de acuerdo a unas instrucciones. Entonces, por ejemplo, algo que usan mucho los reclutadores es generan un componente que es evaluación del nivel de un candidato. Entonces, tú le puedes decir a Jamy como tomando en cuenta lo que se dijo en la llamada. Entonces, tú le puedes decir a Jamy como tomando en cuenta lo que se dijo en la llamada. Y las respuestas del candidato, dime cuál es el nivel del candidato, junior, senior, mediano, tomando en cuenta, no sé, los estándares de la industria y ciertos criterios que yo le digo. Entonces, Jamy automáticamente te genera como, pues este candidato es junior. Entonces, le llena, o sea, puedes generar como evaluaciones, puedes generar también, por ejemplo, algo que usan mucho los vendedores, es que generan una, como un score de la llamada. Para entender qué tan probable es que el cliente vaya a comprar el producto, ¿no? Entonces, tomando en cuenta lo que dijo el cliente, ¿sabes? Y puedes generar eso en automático, que normalmente son cosas que tienes que llenar en un, en tu CRM o en el caso de los reclutadores en una TS y aquí te lo genera solo. Entonces, yo diría que esos son los dos casos más comunes, reclutadores y vendedores, pero hay un poco de todo. Yusef Jacobs (824.51): Ok, para ese tipo de cosas que comentas, no sé, el caso específico del scoring, ¿no? Este, ¿le puedes agregar como que ciertos criterios de prioriza si dicen esto, este, quítale puntos si dicen esto? ¿Sí se puede? Flor De Anda (838.39): Sí, sí, o sea, mira, te voy a compartir pantalla otra vez. Yusef Jacobs (844.96): Entonces, tú puedes definir, esa es la, como la gran flexibilidad de lo que da nuestra funcionalidad de report creator. Tú puedes definir tal cual lo que quieres que Jamy genere. Entonces, para estos que les platicaba son reportes tipo generation en vez de form. Entonces, para un reporte tipo generation, tú puedes darle a Jamy instrucciones. Entonces, no sé, le puedes decir un poco, digo, también lo podrías crear automáticamente aquí, pero vamos a hacerlo manual para que vean cómo funciona. Entonces, este, no sé, tomando, tomando en cuenta el nivel de inglés del candidato, dame un score del 1 al 10. No sé, este es algo muy sencillo, muy, muy tonto. Pero podrías decirlo. Es decir, este, toma en cuentas y usa, este, palabras, palabras técnicas en inglés para quitar o agregar puntos. No sé, estoy agregando cualquier cosa que se me está ocurriendo, pero para que se haya una idea de, tú puedes darle como las instrucciones que quieras. Entonces, eso que estás diciendo, Flor, podrías decir como, si dijeron esto, quita puntos. Si dijeron esto otro, agrega puntos. Este. Evalúa el score tomando en cuenta estos criterios. Entonces, todo lo agregas como instrucciones. Entonces, Jamy va a generar un score o una evaluación tomando en cuenta esas instrucciones. Yusef Jacobs (939.66): Y así, pues, ustedes pueden generar, literar lo que quieran, ¿no? Pueden hacerlo manual como yo lo hice o con la funcionalidad esta de aquí de Generate Components, solo describen lo que quieren, más o menos lo que están buscando. Y les va a generar algo Jamy para que no emprecien desde cero y ya después pueden editarlo para ajustarlo. O tal cual a lo que ustedes busquen. Yusef Jacobs (962.52): Buenísimo. Yo, para mí, claro, yo creo que, o sea, me gustaría a mí darle un vistazo, probarlo y eso. Entonces, ahí me vas a estar viendo, abriendo mi cuenta, Joseph. Creo que Adri también. Yusef Jacobs (979.02): Buenísimo. Pues, también después de esta llamada, pues, se va a generar un reporte y les va a llegar por correo y pueden acceder al reporte sin crear una cuenta, porque ustedes están invitadas a esta llamada. Y ahí pueden jugar un poco. Con el reporte para hacer preguntas y demás. Y, digo, igual pueden crear su cuenta ya para conectar su propio asistente. Yusef Jacobs (999.81): No, qué buenísimo, Joseph. Este, yo, o sea, no sé si coincides, Adri, veo algunos potenciales casos de uso. Me gustaría, creo que hacer pruebas directas, como dices, para entenderle, ¿no? Mejor, más allá de todo lo que nos has comentado. Y, pues, nada, pues, si quieres, tengamos un follow up. ¿Cómo es, Adri? Yusef Jacobs (1022.81): Sí. Sí. Danos una semanita como bajar nuestros user cases para esto, probarlo y, nada, volvemos contigo. Adriana Malaret (1034.66): Buenísimo. Cualquier duda que tengan, ahí estoy por correo. 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