TL;DR
- Guest: Eric Ries on Lean Startup in an AI-native world.
- Frameworks: build-measure-learn with model loops; hypothesis as prompts.
- Contrarian: 'Ship the model' ≠ value unless it closes a real loop.
What you’ll learn
- How to adapt MVPs when AI generates behavior.
- Measuring learning when performance drifts.
- Ethics and guardrails as part of product spec.
Key takeaways
- Moats: proprietary data + feedback channels.
- Risk: model brittleness and evaluation theater.
- Hiring: PMs who can frame testable model hypotheses.
By the numbers
- ~45–60 minutes
- 3–5 named companies
- 1–2 named frameworks
Quotes
FAQ
- Who is the guest?
- Eric Ries, author of The Lean Startup.
- What’s the guest’s edge?
- Operational discipline for learning speed and capital efficiency.
- Actionable steps mentioned?
- Define success metrics per loop; automate evaluation; retire flaky KPIs.
Entities mentioned
- The Lean Startup