Framework · 2 notes · discussed by Karina Nguyen, Kevin Weil

Iterative Deployment

Every note in the archive that names Iterative Deployment: summaries, key takeaways and links to the original essays, episodes and posts. Ask a question below to get a cited answer from just these notes’ authors.

Q:
Answers quote and cite the source notes
Lenny’s Podcast116 min

OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more

Kevin Weil · Apr 10, 2025
Key learnings
  • Build products at the edge of current model capabilities, since models improve every few months and a barely-working product can…
  • Treat evals as unit tests for models: define hero use cases, write evals for them, and hill-climb on those evals to know whether…
  • Expect AI behavior to be fuzzy: a model right 60%, 95%, or 99.5% of the time implies very different product designs, so study…
Lenny’s Podcast81 min

OpenAI researcher on why soft skills are the future of work

Karina Nguyen · Feb 9, 2025
Key learnings
  • Build rigorous evals first: define deterministic pass/fail behaviors (e.g., correct time handling) and human win-rate comparisons…
  • Use prompting as a fast prototyping method to test product ideas before engineering investment, as Karina did with file uploads…
  • Synthetic data scales cheaply for teaching core product behaviors, but human expert data is still needed for specialized…