In print
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.
View on Amazon Find it at your favorite store