GateKeptAI

how the @GateKeptAI gate actually works under the hood: 1. Agent proposes an action + payload 2. Gate evaluates it against your policy (safe AST eval, no arbitrary code) 3. Returns a verdict: allow / block / escalate 4. Writes it to a hash-chained audit log Each entry hashes the one before it. change any past row and the chain breaks. Every company racing to deploy agents is about to learn they need a way to control them first. gatekeptai.com/demo Soon 🛡️

The @GateKeptAI site is live: gatekeptai.com Fire real agent actions and see how each gets decided: allow, block, or escalate against policy. Tweak the rules, watch the verdicts change. All logged. Full docs & demo if you want to dig in. Demo: gatekeptai.com/demo Docs: gatekeptai.com/docs

GateKept: the control layer your AI agents are missing. Wrap any action with gk.gate(). Get a verdict before it runs: allow, block, or escalate. Every decision in a tamper-evident audit log. Open source. Building in public. github.com/GateKeptAI/Gat…

Watch @GateKeptAI evaluate an AI agent in real time. Every action hits the gate first: $4.2k payment → ALLOW 45k-row export → BLOCK $80k transfer → ESCALATE (paused for human approval) Allow. Block. Escalate. 🛡️

The control layer your AI agents are missing. Allow. Block. Escalate. 🛡️ @GateKeptAI

AI agents need a gatekeeper Allow. Block. Escalate Coming soon🛡️