Your AI agent is lying to you. Not on purpose. It just fills in the gaps when it does not know something. It sounds confident. It names real people. It cites papers that do not exist. Your validator says everything is fine.
Here is what actually stops it: give your agent a second brain.
Not a bigger model. Not a better prompt. A small, structured knowledge base of facts your agent is allowed to use. 300 notes. Three rules. Every agent in the pipeline checks the second brain before it writes anything.
I ran this on a real pipeline. Before the second brain: one fake fact every 12 outputs, confidence 0.94, validators happy. After: zero fake facts across 300 runs. The overhead is 20 milliseconds per step.
This talk shows how the second brain works, why it beats prompting, and how to wire it into any framework you already use. LangGraph, CrewAI, Claude Code, does not matter. Live demo included: I plant a fake fact, the second brain blocks it, the final report stays clean.
You leave with the code.
Vanchhit Khare is a Salesforce System Architect and software engineer with 10+ years of experience building enterprise systems across banking, AI, and cloud technologies. He currently works at M&T Bank, specializing in Salesforce architecture, Agentic AI, and digital transformation initiatives. Vanchhit is also an active mentor, researcher, and community contributor focused on making complex technology more accessible and human-centered.
