Nick Nisi

Agents write the code. You skim the diff. You type “LGTM.” Is that engineering judgment, or could a fruit fly do your part? I gave a simulated fruit-fly brain a vote on code changes. It has zero code-review training. This is not a talk about why you should trust it. It’s a talk about what makes anyone’s approval worth trusting, including yours.

Delegating work takes more than a capable model and a good prompt. It takes a system that can check results, catch unsupported claims, and decide when to retry or ask for help. In this hands-on, 60-minute workshop, you’ll build a verification and repair loop around an AI agent.

AI agents are calling APIs, submitting forms, and sending emails—but how do you control what they’re allowed to do? As agents act on behalf of users or organizations, traditional patterns like OAuth, session tokens, and role-based access often fall short. In this talk, we’ll explore how machine identity is evolving to meet this new landscape.

This hands-on workshop introduces Mastra.ai, a TypeScript framework that streamlines the development of agentic AI systems compared to traditional approaches using LangChain and vector databases.