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.
Related event: Hamel Husain: Don't Build AI Products If You Won't Inspect Your Own Data(12 posts)→
More from coding & agent
- Agihouse Releases Q2 State of Intelligence Report on Agents, Infra, and Adoption — agihouse_org · 2026-09-04
- Reproducing all of Schmidhuber's papers (1990-2025) with an AI coding assistant — rupspace · 2026-09-04
- Developer drops firmware folder into Claude and gets a protoboard design out — _Stocko_ · 2026-09-04
- One Person, 30 Hours, Months of Work: Watch AI Agent Swarms Coordinate in Real Time — sjgadler · 2026-09-04
- Qwen's Terminal-Universe turns agent trajectories into scalable terminal training environments — Qwen · 2026-09-04
- Tencent Hunyuan's environment evolution keeps terminal agents learning via rising task difficulty — Tencent-Hunyuan · 2026-09-04