The Model Isn't Broken, the Product Is: Fixing AI Evals
HamelHusain · x · 2026-07-31
AI evaluation expert Hamel Husain points out that developers often blame poor user experience on model capabilities when the product design itself is actually at fault.
He emphasizes that ambiguous inputs, generic metrics, and disconnected review processes lead to misleading AI evaluations. He shares methodologies to fix these evaluation pitfalls in agent engineering.
More from coding & agent
- Perplexity Launches Projects: A Collaboration Hub for Agents and Humans — AravSrinivas · 2026-07-31
- Elicit Launches API and MCP Server to Power AI Agents with Scientific Evidence — elicitorg · 2026-07-31
- Agensis Update: Agents Maintain Identity and Memory Across Conversations — jasonkneen · 2026-07-31
- Open-Source Tool Makes AI Agents Think Like the Laziest Senior Dev — mariofilhoml · 2026-07-31
- Multi-Agent Visual Feedback Loop: Generating AAA Game Assets via Prompt — chongdashu · 2026-07-31
- Solving Long-Horizon Agents: Why Process Supervision Beats Outcome Verification — mattturck · 2026-07-31