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Meta PM Zevi Arnovitz: How a non-coder ships real features

Through staged Cursor workflows and multi-model peer review on Claude; Codex and Gemini help a non-technical PM turn Linear tickets into shipped features.

Lenny RachitskyhostZevi Arnovitzguest
Jan 18, 20261h 15mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 4:48

    Introduction to Zevi Arnovitz

  2. 4:48 – 7:41

    Zevi’s background and journey into AI

  3. 7:41 – 14:41

    Overview of Zevi’s AI workflow

  4. 14:41 – 17:18

    Screenshare: Exploring Zevi’s workflow in detail

  5. 17:18 – 30:52

    Building a feature live: StudyMate app

  6. 30:52 – 38:32

    Executing the plan with Cursor

  7. 38:32 – 40:40

    Using multiple AI models for code review

  8. 40:40 – 43:37

    Personifying AI models

  9. 43:37 – 45:40

    Peer review process

  10. 45:40 – 51:05

    The importance of postmortems

  11. 51:05 – 53:42

    Integrating AI in large companies

  12. 53:42 – 57:02

    How AI has impacted the PM role

  13. 57:02 – 58:15

    How to improve AI outputs

  14. 58:15 – 1:02:57

    AI-assisted job interviews

  15. 1:02:57 – 1:06:20

    Failure corner

  16. 1:06:20 – 1:15:12

    Lightning round and final thoughts

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