Loop Engineering: Build AI Agents That Run While You Sleep

Prompt engineering got you to output. Loop engineering gets you to outcome — while you sleep.

You’ve felt it. You prompt the same AI 15 times to get one usable result. You babysit ChatGPT tabs. You Frankenstein n8n workflows that stall at 2 AM. You know AI agents are the next layer — you just don’t know how to build one that survives an overnight run without hallucinating, looping forever, or torching your API bill.

This course teaches Loop Engineering — the discipline of designing autonomous AI loops that verify their own work, retry intelligently, and stop safely.

By lecture 3, you’re already running a real autonomous loop on your screen. By the end of the course, you’ve shipped a loop that runs 60+ minutes unsupervised and produces output you can trust to send to a customer.

What you’ll build:

• Your first working /loop in 15 minutes (Claude Code + n8n, copy-paste setup)
• A production-shape customer-support-reply loop with all 5 anatomy parts wired live
• 5 steal-and-adapt patterns: content repurpose, code review, data extraction, PR monitoring, research
• A capstone loop deployed to run overnight — handed off to a non-technical peer

What makes this course different:

• Result-first. No 45-minute history lecture. You run before you read.
• One loop, one shape. You watch the same loop grow across sections — Contract → Actor → Checker → Retry → Stopper — instead of jumping between 5 fragmented tools.
• Both worlds. Every major pattern shown in Claude Code AND n8n, so developers and no-code builders both ship.
• A decision rule, not just a build. You’ll leave knowing when NOT to reach for a loop — the mistake that kills 90% of first agent projects.

Who this is for:

• Developers, AI operators, and no-code builders who’ve hit the “I keep prompting the same thing 15 times” wall.
• Prompt engineers ready for the tactical build behind the June 2026 loop-engineering conversation.
• n8n and Zapier users whose LLM workflows stall, hallucinate, or run away with cost.
• Founders and solo operators building internal AI tooling that needs to survive overnight.

Who this is NOT for:

• Total beginners who’ve never written a prompt (start with my Claude AI Masterclass first).
• ML researchers looking for a paper on emergent agent behavior.
• Anyone allergic to reading a single JSON config — one lecture requires it.
• Enterprise architects looking for LangGraph production-scale deep dive — this is single-operator / small-team scope.

Your instructor: Sawan Kumar — CA-turned-tech-entrepreneur, CEO of a 50+ person IT firm, founder of EvolvXAI, 90,000+ students across 74+ Udemy courses. Based in Dubai. Building AI systems that ship revenue, not slideware.

My promise: If you finish this course and can’t demonstrate a working autonomous loop on video within one working day, message me on Q&A. I’ll personally help you debug — or Udemy refunds you in 30 days, no questions.

Enroll now. Run your first loop before dinner.