Building AI Agencies
From solo agent to coordinated team.
Building AI Agencies covers the messy middle of multi-agent system design — what happens after "hello world," when you need five agents to coordinate on real work.
Across 23 chapters you'll find the architecture, patterns, and operational practices that make multi-agent systems work in production: coordinating agents on shared work, managing memory across sessions, handling failures without human intervention, and actually shipping output.
It's architecture-first, not framework-first — and it's based on a real five-agent publishing operation that produced over 30 chapters through a seven-stage pipeline. The lessons come from running the system, not from reading about it.
Buy the Kindle edition on Amazon — $9.99 Buy the paperback on Amazon — $39.99Frequently asked questions
What is Building AI Agencies about?
It covers the messy middle of multi-agent system design — what happens after a single chatbot, when you need several specialized agents to coordinate on real work.
Who is it for?
Engineers and technical leads moving beyond single-LLM prototypes to systems that operate autonomously, durably, and debuggably.
What makes it different?
It is built, not theorized. Every pattern comes from a real five-agent publishing operation running since May 2026 on local infrastructure.
What does it cover?
Topology that scales, validation that bites, memory that compounds, self-improvement loops, and production guardrails — across twenty-three chapters and 747 pages.