How are people managing multiple AI agents in production?

Lately I’ve been experimenting with something I’m calling an “AI control center” for managing agents.

While building with AI agents, I kept running into the same problem:

everything ends up scattered.

Prompts in one place, APIs somewhere else, logs in another tool, and workflows glued together with scripts.

So I started building a small internal dashboard to organize things like:

• multiple agents

• prompts and tools

• activity monitoring

• usage tracking

The interesting part wasn’t the building — it was watching how people actually interact with agents once everything is in one place.

A few things I’ve noticed so far:

- Most people underestimate how much monitoring and debugging agents matters.

- Users often interact with agents in ways you didn’t design for.

- Simple visibility (logs, actions, usage) changes how you design agents.

Curious how others here are handling this.

If you're building with AI agents:

How do you manage multiple agents and keep track of what they’re doing?