Modern AI agents don't just chat — they call real APIs, invoke tools, and execute actions with real-world consequences. That's exactly where most prototypes fall apart. Not because of bad prompts, but because of missing guardrails.

In this session, we'll dissect a production-ready agent built on MCP tools and APIs to answer the uncomfortable question nobody asks until something breaks: who can do what, and how do you prove it?

You'll walk away with:

Your agent follows orders. Make sure it only follows yours

You gave your agent tools. Did you give it limits?

Spy on your own agent before someone else does

The scars of taking an agent to production (and how not to repeat them)

Your agent can open any door. Make sure it only knocks on the right ones.