Loop Engineering
Design reliable AI agent loops with checks, budgets, tools, memory, observability, and human escalation. You are no longer the prompter. Design the system that prompts the agent for you — with a goal, a check, a budget, and a way out.
Design reliable AI agent loops
Learn how to design loops that verify work, retry intelligently, stop safely, and escalate when needed.
What you'll learn
- What a loop is and why prompts alone are not enough
- How to define goals, checks, budgets, stop conditions, and escalation rules
- Why coding agents are the clearest example of loop engineering
- How to add observability, security, sandboxing, and deployment discipline
- How to choose the right loop pattern before writing agent code
A practical 2026 guide for AI builders, tech leads, and engineers who want to move from one-off prompting to production-ready agent workflows.