Loop Engineering: Build Agents That Run Themselves
Your AI agent shouldn't need you to babysit it. In one intensive session you'll build loops that run, retry, checkpoint, and hand off to humans at exactly the right moment — and ship them the same day.
Yash ThakkerDay 1
A single intensive day covering the full loop engineering stack: anatomy of a loop, tool calls and branching, human-in-the-loop design, failure handling, and when to go fully autonomous. Every section ends with a working loop you built yourself.
Next run: Jul 20, 2026
- ✓1 live session · 4 hours · Jul 20, 2026
- ✓1-year access to session recording
- ✓Take-home loop templates and patterns
Secure payment via Stripe
Three production loop templates ready to ship the same day
Loops are the backbone of every real AI agent. Not the flashy demo — the part that actually runs, retries, monitors itself, and knows when to hand back to a human. This workshop strips back the hype and teaches you the engineering fundamentals: how to structure a loop, where to put checkpoints, how to handle failure, and when autonomous is the right call vs. when human approval is non-negotiable. By the end you'll have three working loop templates — a multi-step research runner, a human-gated content pipeline, and a failure-resilient task runner — all built during the session and ready to drop into a real project.
- 1 live session · 4 hours · July 20, 2026
- Build real loops in Claude Code with tool calls and branching
Two focused days
1 sessions · 4 hours each · All sessions recorded
A single intensive day covering the full loop engineering stack: anatomy of a loop, tool calls and branching, human-in-the-loop design, failure handling, and when to go fully autonomous. Every section ends with a working loop you built yourself.
Sessions
Session 1: Loop Anatomy — Structure, State, and Termination
Dissect what a loop actually is in an agent context: the trigger, the task queue, state management between iterations, and the termination condition. Understand the difference between a loop that runs once and one that keeps going until the job is done. Build your first simple task-runner loop in Claude Code end-to-end.
Session 2: Tool Calls, Branching, and Multi-Step Workflows
Wire real tools into your loop — file reads, API calls, code execution. Add conditional branching so the loop can change course based on intermediate results. Build a multi-step research-and-write loop that fetches data, processes it, and produces a structured output without manual intervention.
Session 3: Human-in-the-Loop — Checkpoints and Approval Gates
Not every step should run autonomously. Learn the two checkpoint patterns: blocking approvals (loop pauses and waits) and async approvals (loop queues work and resumes). Design approval gates for the moments that matter — destructive writes, external sends, budget thresholds — and keep autonomous everything that doesn't need a human.
Session 4: Failure Handling, Retries, and Production Patterns
Loops fail. Learn structured failure handling — per-step error capture, exponential backoff retries, and hard-stop conditions. Understand loop observability basics: what to log, when to alert, and how to replay a failed run without duplicating side effects. Close with a review of the loop patterns that cover 90% of real production use cases.
Skills covered
You'll build
- →Build a multi-step research loop that fetches, summarises, and writes structured output
- →Add a human-approval gate to a content publication loop
- →Implement retry logic and failure logging on a live tool-call loop
Looks like something you need? Seats are limited.
Secure your spotWhat you'll build
Every session has hands-on work. Leave with real deliverables you can use the next morning.
Research & Write Loop
A complete multi-step agent loop that fetches data from external sources, processes and summarises it, and writes structured output — fully automated and ready to adapt to your domain.
Human-in-the-Loop Content Pipeline
A content workflow loop with approval gates at the right moments — autonomous drafting, human review before publish, automated distribution after sign-off.
Failure-Resilient Task Runner
A production-grade loop template with per-step error capture, retry logic, and structured logging — drop it into any workflow that needs to keep running even when individual steps break.
Join professionals from 30+ countries who've taken this workshop.
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Frequently asked questions
Everything you need to know before enrolling.
You should be comfortable writing prompts and have basic familiarity with Claude Code or a similar AI coding assistant. No prior experience with agent frameworks or loop patterns required.
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Join professionals from 30+ countries learning to use Claude as a genuine work partner. Seats are limited to keep sessions interactive.
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