<p>🚀 We’re building CONTROL — a control layer for AI agents.</p>

🚀 We’re building CONTROL — a control layer for AI agents.

AI agents can now read emails, access CRMs, use APIs, work with files and make decisions on their own.

But there’s a problem:

Once you deploy several agents, it becomes difficult to answer simple questions:

What did the agent do?

What data did it access?

What was it allowed to do?

What did it try to access but get blocked?

And how much did it cost?

That’s what we’re building with CONTROL.

CONTROL gives teams one workspace to:

→ monitor AI agent activity
→ define permissions and policies
→ track usage and costs
→ keep an audit trail of actions
→ identify risky or unexpected activity

We’re still early.

I’m building this in public and testing the product with real users.

If you work with AI agents, I’d genuinely love to know:

What’s the one thing you wish you could control better about your AI agents?

🔗 CONTROL: https://controlsai.base44.app