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

Description and use

The article discusses the gaslighting problem in AI agents, where models fabricate information, and proposes a verification layer that checks outputs, reducing hallucination rates to under 3 %.

Problem

AI agents often fabricate information, leading to incorrect outputs that users trust and deploy, causing system failures.

Outcome

Implemented a model-agnostic verification layer that runs on CPU, reducing hallucination rate from ~18% to under 3% and preventing deployment of incorrect agent outputs.

Workflow

• 1. Agent generates output based on user prompt.
• 2. Verification layer analyzes the output for fabricated citations, invalid code, tool call hallucinations, and prompt coherence.
• 3. If issues are detected, the layer corrects the output or flags it for human review before delivery to the user.
• 4. User receives verified, reliable output and can proceed with confidence.

Evidence

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

Source