From Models to Moments: Why Most AI Products Fail in Week One
summary
Most AI products die by day seven because models return suggestions but lack memory and context, orchestration and execution; retention shows only about one or two successes out of ten initiatives. Agentic APIs chain a document parser, merchant classifier, analytics, memory and insight APIs into an agent that executes actions, not just answers. Prototype Clarity parses 847 transactions, triggers five agentic APIs and returns actionable insights (e.g., ~₹20,000 saving) in about 1.2 seconds, proving the approach.
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chapters (10)
- 0:00AI and API Days context
- 1:49Most AI products fail in week one
- 3:17Gaps in AI products beyond intelligence
- 8:52Systematic gaps in AI product design
- 12:21Agentic APIs as the solution
- 13:25Demo: Agentic API for bank statements
- 18:48Agentic APIs transform chatbots to action
- 20:33Architecture of winning AI products
- 21:18Value creation at moment of action
- 22:00Conclusion
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