[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"clip-detail-building-a-team-of-ai-agents-roles-feedback-amp-teamwork-explained-kqj22mwi":3,"comment-tonality-1f36251d-8512-4cd5-9ac1-aa1de0b47d24":18},{"clipId":4,"slug":5,"title":6,"description":7,"thumbnailUrl":8,"videoUrl":9,"durationSeconds":10,"publishedAt":11,"creatorPlatform":12,"creatorUsername":13,"creatorDisplayName":14,"viewCount":15,"likeCount":16,"commentCount":17},"1f36251d-8512-4cd5-9ac1-aa1de0b47d24","building-a-team-of-ai-agents-roles-feedback-amp-teamwork-explained-kqj22mwi","Building a Team of AI Agents: Roles, Feedback, & Teamwork Explained","Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ...","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fkqj22mWIdjU\u002Fhqdefault.jpg","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=kqj22mWIdjU",599,"2026-04-21T11:01:16+00:00","youtube","@ibmtechnology","IBM Technology",57040,1875,52,{"clipId":4,"rankingDate":19,"sampleSize":20,"positivePct":21,"neutralPct":21,"negativePct":22,"highlights":23,"harsh":34,"model":44,"analyzedAt":45,"technicalSummary":46,"promiseClaim":47,"deliveryVerdict":48,"evidence":49},"",33,40,20,[24,29],{"author":25,"likeCount":26,"text":27,"tag":28},"@farhanrahat813",11,"Love how IBM breaks down AI agents into real team roles—makes the concept less abstract and more actionable. Excited to see how these skills evolve into practical workflows!","aprecio",{"author":30,"likeCount":31,"text":32,"tag":33},"@majorgear1021",50,"These videos really need practical examples to see what these abstract ideas look like in the real world.","sugerencia",[35,40],{"author":36,"likeCount":37,"text":38,"tag":39},"@georgeageorgopoulos",1,"IBM hasn't got a good or competitive AI algorithm yet!!! ;))","crítica",{"author":36,"likeCount":41,"text":42,"tag":43},0,"What IBM speaks here IS BS!!!","desacuerdo","gpt-4o-mini","2026-07-30T19:49:25.221+00:00","El video aborda la construcción de equipos de agentes de IA, explicando roles como supervisor, trabajador e inspector. Sin embargo, muchos comentarios sugieren que falta ejemplos prácticos que ilustren cómo se implementan estos conceptos en situaciones reales. Se menciona la necesidad de herramientas específicas y flujos de trabajo que faciliten la comprensión de la colaboración entre agentes.\n\nAdemás, algunos usuarios expresan preocupaciones sobre la complejidad y la viabilidad de los sistemas propuestos, sugiriendo que la teoría presentada no se traduce fácilmente en aplicaciones prácticas. La discusión sobre costos de API y la implementación local de IA también resalta limitaciones potenciales en el enfoque actual.","Explicación de roles y trabajo en equipo de agentes de IA.","partial",[50,54],{"author":51,"likeCount":41,"text":52,"tag":53},"@ItsCloudHub","I think, we need practical example to understand how multiple agents work together. Theoratical knowledge alone wont help","necesidad",{"author":55,"likeCount":56,"text":57,"tag":58},"@preciodetalles9790",2,"Okay that’s the theory, now how does that look in practice?","pregunta"]