Research agent went from 10 sites to 200 and failure rate hit 30%+

Ok-Good-6283 · reddit · 2026-10-21

A developer shares a post-mortem on scaling a research agent: the demo on 10 hand-picked sites was flawless, but pointing it at a real list of 200 domains pushed the failure rate from near zero to north of 30% — and almost none of it was the model's fault.

Failure causes

The core problem

The agent can't tell "the page genuinely said nothing" from "I failed to read it" — so it confidently writes null and moves on. The pipeline lacks any signal separating empty from broken.

The fix

Adding a confidence score on the fetch itself (not the extraction) surfaced more bad rows in a fortnight than every prompt tweak before it.

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