Hamel Husain's complete AI evals framework for PMs and engineers
aakashgupta · x · 2026-11-12
A follow-up to the PM skills thread: Aakash Gupta's paid deep dive on AI evals, co-written with Hamel Husain, one of the most recognized names in the field.
Key points:
- Core claim: you can't be a PM on AI products without evals, just as you can't be a PM without analytics.
- Unlike traditional software, LLM pipelines are non-deterministic: responses can be factually right but "off," or persuasive yet wrong. The core challenge is assessing pipeline quality and diagnosing failures.
- Defines evals as systematic measurement of LLM pipeline quality, producing unambiguous, interpretable results beyond a single number.
- Three operational modes: background monitoring (detect drift/degradation), guardrails (block output, force retry, or fall back), and pipeline improvement.
- Based on a 700-student cohort; next cohort starts July 21 with a discount code (promotional).
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