Solo devs: what do you ship when the model confidently misreads user data?
FamiliarSlide7685 · reddit · 2026-09-09
A solo dev asks how to handle LLM tools confidently producing wrong output on unexpected real-world user data. The four options — refuse on low confidence, ask users to explain columns, proceed with a caveat, or lock to a fixed schema — all carry costs. He suspects nobody actually reads the caveats.
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