~/talk

AI Agents Conference 2026 - Day 1

Talkat AI Agents Conference 2026 · 2026-04-26..04-30· [ai-assisted-development]
linkedin:amer-sheeny
links:none on file
links:none on file
slides:none on file

Conference day surveys a jump from 66% to 90% production success for end-to-end AI projects and shows concrete wins and hazards: agents run multiagent orchestration, write millions of rhymes in hours with claimed 99% accuracy, and sustain week‑long autonomous runs using million‑token contexts and MCP tool hooks. Builders demo GitHub Copilot/CoPilot CLI, Squad orchestration, Google ADK, OpenClaw templates, and DeltaStream for live context; semantic chunking + knowledge graph raise a real system from ~62% accuracy to near‑production levels with eval loops and human‑in‑the‑loop gating.

AI-written summary · about

  1. 0:00Opening and welcome
  2. 2:33Keynote: Retesh Modi
  3. 7:19The evolution of AI agents
  4. 13:24Agent capability leap
  5. 15:23Future agent architecture
  6. 21:05Human-AI collaboration
  7. 23:19Future projections and Q&A
  8. 33:31Expert chat: Rohit Gupta
  9. 48:52Prompting and context
  10. 59:10Prompting techniques
  11. 1:15:00AI coding and tools
  12. 1:30:05Community engagement
  13. 1:33:46Building AI agents
  14. 1:46:53Google AI SDK tutorial
  15. 1:54:33Agent deployment and MCP
  16. 2:03:54Future of the agentic economy
  17. 2:09:01Windows AI development
  18. 2:15:28Agent architecture and trust
  19. 2:40:31Entrepreneurship and AI
  20. 2:48:23The agentic layer
  21. 3:09:05Building real-world agents
  22. 3:26:43Reverse engineering business
  23. 3:34:08Operationalizing agents
  24. 3:44:04Managing AI agents
  25. 3:53:52Context kings in AI
  26. 4:04:20Production-grade LLMs
  27. 4:15:07Evaluating agent performance
  28. 4:23:42Security and compliance
  29. 4:34:00AI in education
  30. 4:51:18The future of EdTech
  31. 5:07:31AI agentic loops
  32. 5:21:47Context management in production
  33. 5:40:36Real-time context integration
  34. 5:56:30Agent reliability in finance
  35. 6:30:32Evaluation metrics and loops
  36. 6:43:23Educational AI paradigms
  37. 7:09:39Conclusion
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