Product Management Challenges in Building Agentic AI Applications

Product Management Challenges in Building Agentic AI Applications

Data Science Dojo via YouTube Direct link

0:00 – Introduction and Why GenAI Product Management is Unique

1 of 14

1 of 14

0:00 – Introduction and Why GenAI Product Management is Unique

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Product Management Challenges in Building Agentic AI Applications

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  1. 1 0:00 – Introduction and Why GenAI Product Management is Unique
  2. 2 2:22 – What is Agentic AI? Understanding the Core Stack
  3. 3 4:10 – The Hierarchy of Agent Capabilities
  4. 4 7:15 – Key Components: Intent, Planning, Memory, Feedback
  5. 5 13:30 – Top Challenges for Product Managers in Agentic AI
  6. 6 14:10 – Turnkey GenAI is a Myth
  7. 7 18:00 – Bias, Compliance & Privacy Hurdles
  8. 8 20:20 – Why PMs Need Deep Technical Fluency
  9. 9 22:50 – Designing Defensive UX & Guardrails
  10. 10 24:10 – Managing Tradeoffs: Performance, Cost, Correctness
  11. 11 26:30 – Introduction to MCP Model Context Protocol
  12. 12 28:55 – Real-World Deployment Pitfalls
  13. 13 31:25 – Live Q&A: Agile, Evaluation, and Model Distillation
  14. 14 39:45 – Final Thoughts and Takeaways

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