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Loop Engineering: Build AI Agents That Run While You Sleep
New
28 students

Loop Engineering: Build AI Agents That Run While You Sleep

Design, ship & monitor autonomous agent loops with Claude Code. The 2026 successor to prompt engineering.
New
Created bySawan Kumar
Last updated 7/2026
English
English [Auto],

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.

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Course content

7 sections • 30 lectures • 1h 58m total length

  • What You'll Be Able to Do by Lecture 302:02
  • Is This Course Right For You? (60-Second Test)2:52
  • Your Complete Roadmap in One Slide2:35
  • Setup: Claude Code + n8n in 15 Minutes2:55
  • My Promise + Your Commitment2:00

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 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.

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

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