Loop Engineering Build AI Agents That Run While You Sleep

What you'll learn

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Design an autonomous AI agent loop from a plain-English task, using the 5-part Contract → Actor → Checker → Retry → Stopper framework.
Ship a working loop in Claude Code /loop OR n8n - same principles, both tools.
Decide whether any task in your work belongs in a loop, a one-shot prompt, a chat, or plain code - before writing a single line.
Steal-and-adapt 5 production-ready loop patterns: content repurpose, code review, data extraction, PR monitoring, research.
Run a loop unsupervised for 60+ minutes with cost caps, safe stops, and monitoring you'll actually trust.
Hand off a working loop to a non-technical peer as your capstone - the real test of whether you built it right.
Requirements

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Basic ChatGPT or Claude use - you've written prompts, you know what an LLM is.
A laptop (Mac or Windows) and 30 minutes to install Claude Code + n8n (checklist provided).
A real task you want to automate - bring it to the capstone.
Description

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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 thesame 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 myClaude 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.
Who this course is for

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Developers and AI operators who've hit the "prompting the same thing 15 times" wall.
n8n / Zapier / Make users who've stalled trying to make LLM workflows reliable overnight.
Prompt engineers upgrading from output → outcome for real work.
Founders and solo builders shipping internal AI tools that need to survive without a babysitter.
Everyone else who have heard of Loop Engineering and what to know more
Homepage

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