AI agents are easy to build now. Managing and trusting them is the real problem.
2 months ago
Everyone is building AI agents now.
n8n agents. Cursor agents. Claude Code agents. MCP setups. LangChain scripts. Personal assistants. Client automations.
But nobody has a clean place to answer the basic questions:
What agents do I have? What do they do? What tools and data can they access? Which ones are dangerous? Which ones are tested? Which ones are wasting money? Which ones are ready to share, sell or deploy?
That’s the gap.
Right now agents live across n8n workflows, GitHub repos, Cursor projects, Claude chats, Notion docs and random screenshots.
It’s messy. And as agents get more powerful, messy becomes risky.
So I’m working on an Agent Control Center.
One dashboard where every AI agent gets an Agent Passport:
purpose tools data access permissions risks test checklist cost estimate version/status shareable docs
For hobby builders, it’s a clean overview of all your agents.
For creators, it’s a trust layer for templates.
For agencies, it’s a client-ready handover report.
For teams, it’s an inventory of what agents exist and what they’re allowed to do.
You build agents anywhere. You control them in one place.
Would you use this? And what would make this a must-have for you?
These things are so fucked up. Even more fucked up is I learned about them from a training session at work where they outlined multiple catastrophic risks and were just like “yeah, there’s a significant number of catastrophic risks, but we accept that so our employees who want to cut corners will become more efficient. We also rely on these corner-cutting employees to keep our systems, and (what we administrate) safe”
You’d cry if you knew what we administrate.