Chorus

Is that answer repeatable?

An AI's answer hands you one confidence level for the whole thing. Chorus redistributes that confidence claim by claim: it re-asks your exact conversation several times, has a judge compare every substantive claim across the runs, and tells you — with evidence — what the model stands behind, what it won't back on a re-ask, and what to change to earn the confidence you thought you had.

How to use it

  1. Create an account — Chorus is invite-only right now; you'll need an invite code.
  2. In Claude: Settings → Connectors → Add custom connector, and paste:
    https://chorus.ligament.me/mcp
  3. Sign in when Claude asks — once.
  4. In any conversation: “Ask Chorus: is this repeatable?”

What you get back

A verdict — repeatable or not — with every disagreement between runs quoted, and, when a check fails, the Close: what held steady, what your answer overclaims, which missing facts would pin the wobble down, and what only a source outside the model can settle.

Your data. When you run a check, your conversation passes through Chorus's server and the Anthropic API. Raw transcripts are not stored: after a check completes, Chorus retains only the derived results — the claim table, verdict, and analysis. Chorus measures repeatability, not truth: a consistent answer is not a certified fact.