Testing LLMs Before Real Orders: The Biggest Error Source Was the Exam Author
ActiveStriking2719 · reddit · 2026-08-13
Before letting an LLM handle real customer orders, a developer built a 29-case exam to test it. He found that the model performed flawlessly, while he, the exam author, made more mistakes.
- Grading Strategy: Recommends grading by severity rather than simple pass/fail. The core criterion is whether a human can undo the mistake.
- LLM Judge: Using an LLM to re-grade the tests successfully caught bugs in the human-written grading code.
- Author Reflection: While LLMs can write factually flawless but narrow test cases, inventing new failure modes remains a human job.
More from coding & agent
- Opinion: 90% of 'Agentic AI' is Just RPA with a Reasoning Layer — alex_verem · 2026-08-13
- AI agent autonomously chats with Amazon AI assistant to complete bookkeeping — RileyRalmuto · 2026-08-13
- One CLI: Open-Source Tool Gives AI Agents Access to 600+ Platforms — tom_doerr · 2026-08-13
- OpenEvolve: Open-Source AlphaEvolve Turns LLMs into Autonomous Algorithm Discoverers — tom_doerr · 2026-08-13
- Claude Connector tip: Add 'Connect with Claude' button to your website — sabotizer · 2026-08-13
- Spending 16 Hours Building and Debugging Code via Realtime Voice AI — solyarisoftware · 2026-08-13