How to design a strong verifier for AI agent loops

LoopGain decides when an agent loop has converged. It does not decide whether your verifier is right — it trusts the error signal you give it. We measured what happens when that signal has blind spots: 4.5% of our own ‘converged’ code runs failed a fuller test than the loop ran. This is a field guide to building a verifier strong enough to trust at the stop.

June 9, 2026 · 9 min · LoopGain

Get new posts by email

New writing on agent-loop control, benchmarks, and what we keep learning the hard way. At most one email per post.

Double opt-in — we'll email you to confirm. Unsubscribe any time.