Multi-Agent Orchestration - Build an AI Agent Team in 30 Days

You split the job across five agents. One stalls. One loops. One burns $50. Again.


Meanwhile, builders on Reddit are running 451 agents in a single session and getting 96% of the output at 46% of the cost. The difference isn't talent. It's the boring machinery they wrapped around the agents, the part every demo skips.


This book turns your one agent into a team that ships work you cannot take on alone. By Chapter 2 you'll have an orchestrator handing bounded tasks to workers. By Chapter 5 you'll fan out parallel agents across a job one context window can't hold. By Chapter 7 a stuck agent fails loud instead of hanging all night. By Chapter 9 the whole team runs on cheap workers under one smart lead, and the margin stays yours. By Day 30 you'll have a production pipeline pointed at real client work.


This isn't another framework tour. Every layer you build comes with a free companion GitHub repo: the finished pipeline under the book's own names, organized chapter by chapter with the drills wired up, and most of it runs before you configure anything.


Here's what you'll build:


1. An agent team: one smart lead assigning bounded work to cheaper models.

2. A fan-out pipeline that takes on jobs a single context window can't hold.

3. The 5 production patterns, each with a runnable skeleton you keep.

4. A reliability layer: timeouts, a dead-letter queue, and a gate that blocks bad handoffs.

5. An observability layer that names the stage a run broke in, in under a minute.

6. A spend cap that kills a runaway run before a $50 mistake becomes $500.

7. A productized pipeline, the cost-per-run math to price it, and a 30-day plan to ship it.


Every week more free "multi-agent" books hit the Kindle Store, and every one of them will let your next run die at 3 a.m. This one is different: 180+ pages of dense, runnable, vendor-neutral content that builds one real system on the tools you already own. Scroll up and grab your copy.