~/talk

Where Should the Agent Act? New Approach to Product Discovery for Agentic Systems

Talkat Øredev 2025 · 2025-11-05..11-07· [ai-assisted-development]
links:none on file
slides:none on file

Claims that product discovery must find where time actually goes and place agents at specific judgment points, not chase model demos. Method: shadow real work, map hesitation and handoffs, break tasks into agentic steps, prototype agents that extract, validate, draft and escalate. Example: environmental product declarations move from months to hours with higher consistency. Small cross‑functional teams iterate with evals as real cases and reinvest saved capacity into new product value.

AI-written summary · about

  1. 0:00Agentic systems introduction
  2. 3:04Human agent in workflows
  3. 7:20Scaling expert judgment
  4. 11:54Efficiency vs capacity
  5. 14:25Agentic workflow examples
  6. 17:51Product discovery for agents
  7. 23:11Learning from expert feedback
  8. 25:21Team roles in agentic products
  9. 28:09Leadership in adoption
  10. 30:36New opportunities with agents
  11. 34:10Starting agentic discovery
  12. 35:14Closing and call to action
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