AI evals, explained for

Software engineersProduct managersScientists (coding)Scientists (non-coding)Non-technical founders

Evals give you control, once you define them, you can move fast without regressions and cut through hype with proof.

Evals make PoCs verifiable so you see real progress instead of one-off demos, and quality doesn't vanish over time.

Evals reduce manual checking and keep experiments grounded, even when you use AI to move faster.

Evals help you keep control and use AI tools with more confidence, even without deep coding skills.

Evals are provable and auditable, letting you move fast while reducing risk across the org.

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What this site is

  • A compact, honest guide to LLM evals and tooling.
  • A place to learn by example and avoid hype‑driven decisions.

Read more in About.

What this site is not

  • A marketing page for any single tool.