• views: 156
• date: 17 August 2026
• posted by: voska89

What you'll learn

⚡ 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

❗ 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

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

⭐ 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

https://www.udemy.com/course/loop-engineering-build-claude-chatgpt-ai-agents-that-run-while-sleep

   
   
   

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