Claude Code orchestration, run like a team

Ship more with AI agents — without merging what they broke

One commander session plans the work, splits it into bounded task packets, and judges the evidence. A pool of workers — subagents or external CLIs like codex exec — runs the implementation in parallel, each writing its own logs and exit codes. Nothing merges until the commander has reviewed what came back.

Illustration of the catalog's sample deliverables
The same catalog, now with an English storefront

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Products

Ebooks, prompt packs, and templates for the commander/worker way of running AI agents. Every purchase is covered by a 30-day refund window — if a product doesn't work for you, ask for your money back.

Bundle · best value

Complete Agent Ops Kit

Everything on this page in one download: both books (EN + KO), the 25-prompt review pack, the 30-pattern CLAUDE.md library, and all templates in both languages — 82 files, with a START_HERE guide that maps each problem to the file that solves it. Buying the four separately costs $176.

Ebook

Solo, Like a Team

A practical guide to running Claude Code as a commander with a pool of parallel workers: splitting work, writing bounded task packets, and reviewing agent output before anything merges.

Prompt pack

The Adversarial Review Prompt Pack

Ready-to-use prompts for adversarial review of AI-written code, aimed at what agents actually ship: tests that pass without proving anything, swallowed errors, and quiet regressions just outside the diff.

Pattern library

The CLAUDE.md Pattern Library

Copy-and-adapt CLAUDE.md patterns: how to structure rules that agents actually follow, where verification commands belong, and what to leave out so the file stays short enough to be read.

Templates

Orchestration Starter Templates

Starter files for a commander/worker setup, so you can adapt a working structure to your own repository instead of starting from an empty file.

Free · Open repositories

Free tools

The same patterns, free to read and reuse on GitHub — before you spend anything, check the quality against the real thing.

Free · on GitHub

agent-watch

A free utility for monitoring background AI agent workers.

View on GitHub

Free · on GitHub

AI code review prompts

Adversarial review prompts you can adapt into checks and evidence clauses.

View on GitHub

Free · on GitHub

CLAUDE.md patterns

Free rule patterns that demand evidence; the paid library expands the set.

View on GitHub

Free · on GitHub

Orchestration repository

The free orchestration repository the articles and the book build on. Written in Korean.

View on GitHub

Free guides

Articles

Long-form English guides on orchestrating parallel workers, reviewing AI-written code, and detecting stalled agents.

Codex operations

Running codex exec as parallel background workers

Preserve logs, PIDs, and exit codes per worker, and tell DONE, FAILED, and STALL apart with a watcher script.

Free · ~11 min Read the guide

Adversarial review

A review checklist for AI-written code

Exit codes, tests that never fail, migration lock-in, prompt injection, and doc drift — checked against real code examples.

Free · ~12 min Read the checklist

Claude Code usage

Making a Claude Code weekly limit last

The commander/worker split, native subagents versus external CLI workers, and measuring usage and rework together.

Free · ~12 min Read the guide

CLAUDE.md rules

CLAUDE.md rules agents actually follow

The trigger, check, stop, evidence structure, five worked examples, and a probe for verifying rules in a fresh session.

Free · ~13 min Read the guide

Agent operations

Stall detection for background AI agents

Per-worker logs, PIDs, exit markers, and a portable watcher to tell done, failed, running, and stuck apart.

Free · ~13 min Read the guide

Not sure yet?

Start with the free layer

Read one article or browse a free repository first. The paid products cover the same ground in more depth, and every Gumroad purchase has a 30-day refund window.

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