A one-word prompt edit dropped our accuracy 9 points. Nothing caught it.
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We version our code. We test our code. We gate merges on the tests. Then someone edits the system prompt in a text box, clicks save, and ships it with none of that. The edit that got me was small. Someone changed "Answer concisely" to "Answer concisely and only from the context provided." Reasonable. It shipped on a Tuesday. By Thursday our extraction accuracy on the eval set had dropped from 0.87 to 0.78, and the only reason we noticed was a support ticket, not a gate. In most LLM apps I've…
1Key Takeaways
- Then someone edits the system prompt in a text box, clicks save, and ships it with none of that.
- Someone changed "Answer concisely" to "Answer concisely and only from the context provided." Reasonable.
- By Thursday our extraction accuracy on the eval set had dropped from 0.87 to 0.78, and the only reason we noticed was a support ticket, not a gate.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that then someone edits the system prompt in a text box, clicks save, and ships it with none of that.
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