AI agents are powerful. But they don't understand consequences. Left unchecked, an agent will happily set balance = 1,000,000 , break a core invariant, or corrupt state — not out of malice, just because nothing stops it. I built agentguard-trustlayer to fix that. What it does It sits between your AI agent and execution. Every proposed action passes through four gates before anything changes: Auth — is the token valid and unexpired? Locks — is the target key frozen? Constraints — does the new state pass all rules? Rollback — if anything fails, state is fully restored If a constraint fails, the error is fed back into the agent's prompt so it can self-correct on the next attempt. See it in action import asyncio , json from trustlayer import GuardedAgent , LambdaConstraint async def my_model ( prompt : str ) -> str : # Agent tries to cheat on first attempt if " last error " not in prompt . lower (): return json .…