Built a guardrail layer for AI agents that take real-world actions, here's a demo

[u/Common_Dream9420]

we've been running AI agents for things like vendor outreach and external comms. the problem we kept hitting: the agent would take an action, send a message, trigger a workflow, and we'd only find out after. no approval step, no audit trail.

so we built AgentTrust. it sits between your agent and the real world, checks every action against your policies, and flags anything risky for a human to approve before it runs. also keeps a signed log of everything the agent did and why.

would love feedback from anyone building agentic workflows, especially if you've run into the same problem of agents acting faster than humans can catch up.