Why Your AI Agent Keeps Gaslighting You (And How to Fix It)

说明与用途

文章讨论了AI代理中的“气灯”问题，即LLM生成看似可信但不正确的输出。作者添加了一个验证层，检测并纠正虚假引用、无效代码等错误，将幻觉率从约18%降低到低于3%。

问题

AI agents often hallucinate, producing fabricated API responses, file paths, code edits, or citations that appear confident, leading users to trust incorrect outputs and blame themselves when failures occur.

结果

Implemented a model-agnostic, CPU-only verification layer that reduced hallucination rate from ~18% to under 3%.

工作流

• 1. Agent generates output based on user prompt.
• 2. Verification layer receives the output immediately after generation.
• 3. Verification checks for fabricated citations, invalid code, tool call hallucinations, and coherence with the original prompt.
• 4. If any check fails, the output is corrected or flagged.
• 5. Corrected or flagged output is presented to the user.

证据

Result: hallucination rate dropped from ~18% to under 3%.

来源