Your AI Product Needs Evals
hamel.dev- Category
- Other
- Type
- ARTICLE
- Builder
- @HamelHusain
- Added
- Jul 21, 2026
About
Motivation I started working with language models five years ago when I led the team that created CodeSearchNet , a precursor to GitHub CoPilot. Since then, I’ve seen many successful and unsuccessful approaches to building LLM products. I’ve found that unsuccessful products almost always share a common root cause: a failure to create robust evaluation systems. I’m currently an independent consultant who helps companies build domain-specific AI products. I hope companies can save thousands of dol
Why it made the leaderboard
This is the reference playbook for eval systems — the single highest-leverage practice separating LLM products that improve past the demo stage from ones that stall.
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Indexed by a proprietary survey. Corrections welcome.