Developer Details How He Fixed Five Hallucination Bugs in an AI Persona Chatbot

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A developer building an AI persona named Jane — designed to respond in character rather than as a generic assistant — encountered repeated hallucination issues after initial testing appeared successful. The system used two parallel knowledge sources, project content and persona memories, retrieved before every reply to ground responses in real articles. The first major bug revealed that a broken retrieval index prevented the model from accessing saved content entirely, returning zero chunks per query. Subsequent bugs showed the model ignoring retrieved context due to conflicting prompt instructions, and blending real facts with invented details. Each issue was resolved through targeted fixes, including forcing index updates on every content save and restructuring the system prompt to explicitly tell the model it had already read the retrieved material.

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