31 Experts

Expert #31

Rafael Ortega

Expert #31

Rafael Ortega

Artificial Intelligence

Treat models as junior colleagues: useful, fast, and in need of supervision.

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About the Expert

Rafael designs AI workflows for product teams that cannot afford theatre. He has shipped evaluation harnesses, retrieval systems and internal copilots for companies that needed the work to survive a Monday standup. 31 Experts selected him for a rare combination: technical literacy and contempt for magic language.

  • Led applied AI at two product companies, from prototype to production evals.
  • Teaches operators how to specify tasks models can actually complete.
  • Writes evaluation checklists before prompt libraries.

Special Edition

The Top 10

In the Special Edition they answer The Top 10. These are the questions. The answers live in the book.

  1. 01

    If you could give just one piece of advice to someone starting out in this discipline, what would it be?

  2. 02

    What was the biggest challenge you faced in your career, and how did you overcome it?

  3. 03

    What is the most important “Never do this…” rule in your discipline?

  4. 04

    Who inspired or mentored you, and what did you learn from them?

  5. 05

    What is the biggest discovery you wish you had known on day one?

  6. 06

    What do outsiders consistently misunderstand about your discipline?

  7. 07

    What decision looked small at the time but changed everything?

  8. 08

    What skill outside your discipline has contributed most to your success?

  9. 09

    What belief did you hold when you started that you no longer believe today?

  10. 10

    When your career is remembered, what do you hope people say you stood for?

The Top 10 is not a public interview. Buy the edition to read what they said.

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Expert Playbook

Specify, sample, score

Write the job as a contract. Collect 20 real examples. Score them before you tune anything. Then change one variable at a time.

Digital products

Recommended resources

  • A one-page eval sheet

    If you cannot score it, you cannot improve it.

Media

  • Systems WeeklyEvals before demos

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