We’ve been thinking a lot about how agentic AI systems should be controlled before they touch real systems (money, data, prod infra).
We put together a small public GPT that simulates pre-execution authorization:
You describe a proposed action
It returns ALLOW or BLOCK, with reasons
No execution, no enforcement — just evaluation
It’s meant as a discussion artifact, not a product pitch.
Link:
https://chatgpt.com/g/g-6950ce624e988191a12212c322711656-uaal-pre-execution-authorization-simulator
Genuinely curious:
How are others thinking about authorization vs execution for AI agents?
Should this live inside the agent, or outside as a control plane?
Happy to take criticism — this is early thinking.
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