A developer built an AI research agent that requires claims to be backed by exact quotes from cited sources, with a deterministic code-based checker to verify these citations. Initially, the checker rejected nearly half of the agent's claims, leading the developer to believe the AI was fabricating information. However, upon investigation, the developer discovered that bugs in their own HTML-to-text parsing and quote-matching logic were causing false negatives, not AI hallucinations. AI
IMPACT Highlights the critical importance of robust data processing and verification layers when evaluating AI-generated content.
RANK_REASON Developer's personal project detailing a bug in their own citation-checking code.
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