A 52-Page AI Report Is Eval Mush: Decompose It Before Evaluating
hugobowne · x · 2026-09-04
Hugo Browne's thread on Hamel Husain's eval advice (points 5-6): a 52-page generated report is eval mush — break the expert's work into fact-finding, contradiction detection and open questions, which are things you can actually inspect and evaluate. AI should help experts miss less by surfacing possible facts, contradictions and open questions, even if some are wrong; the expert still signs the report.
More from coding & agent
- Beat AI's samey frontends: import a design system before generating UI — dotey · 2026-10-21
- Trust slider over Clairic: 102 manual reviews catch 74 of 76 extraction errors — michellechen · 2026-10-21
- FreePi Bets on Ad-Supported Coding Help to Undercut $20/Month AI Coding Subscriptions — heyneighbor · 2026-10-21
- RedMonk: MCP and A2A Verify Publishers, Not Safety — Registries Become the Trust Layer — rseroter · 2026-10-21
- Agentic refactor: 600 PRs moved OpenClaw's web UI from Lit to Solid 2.0 in 2 weeks — steipete · 2026-10-21
- 19 Recorded Runs of 18 Agents Building a Lisp Interpreter, Released on Hugging Face — strickvl · 2026-10-21