Why I used three different critic roles instead of one (and what the eval taught me)

I built Crucible over a weekend: three specialized critic agents that audit any LLM output in parallel, an adjudicator that synthesizes their critiques into a confidence-scored verdict, and an eval harness that measures whether the whole thing actually works better than just asking a single model to check itself.

Here is what I learned, including the part where the honest answer is "not as much as I hoped."

The problem: a model cannot reliably audit its own blind spots

When a language model generates output, it has already committed to a direction.…