Learn to Architect
AI Agent Systems
Battle-tested frameworks, step-by-step tutorials, and real architecture patterns from running 50+ agents on a Mac Mini. Built by JD Davenport — no hype, no paywalls.
34 pages of content · 6 sections · Used by builders at $5M–$100M companies
What do you want to learn first?
Describe your goal in plain English. The concierge builds you an ordered reading path through the Learn library — foundations first.
Everything You Need to Build Agent Systems
Guides
Step-by-step from zero to a working agent. Build your first agent, add memory, automate the browser, and orchestrate multi-agent workflows.
7 tutorials →Architecture
The C-Suite Agent System — CEO, COO, CTO, CMO, CIO agents. How to design a business that runs itself with specialized agents coordinating at every level.
6 deep dives →Frameworks
The Agent Requirement Document, Delegation Framework, LLM Routing Strategy, and more. Reusable templates for designing agent systems that scale.
6 frameworks →Articles
Practitioner essays: the 54-agent stack, why AI agents replace SaaS, self-hosted voice AI for $35/month, smart model routing, and more.
8 articles →Case Studies
Real build logs: 17 features in one session, a full content pipeline automated end-to-end. What it actually looks like when agents do the work.
2 case studies →Resources
GitHub repos (OpenClaw, Nerve Center, Autonomous Business Platform), the full tech stack, newsletter signup, and community links.
Explore repos →Start Here
The highest-leverage reads if you're new. Get the mental model first, then build.
Agent Requirement Document (ARD)
The PRD for AI agents. Define what your agent does, what tools it needs, and how it's evaluated — before writing a single line of code.
Read more →Agent Tree Architecture
CEO agent orchestrates specialist sub-agents. The operating system pattern for AI-native companies — explained with diagrams.
Read more →Build Your First Agent in 30 Minutes
From zero to a working AI agent with persistent memory, cron jobs, and tool use. No prior AI experience needed.
Read more →Latest Articles
Practitioner insights on AI agents, building in production, and the future of autonomous software.
What I Learned Building 54 AI Agents
12 min read · Memory, orchestration, cron, accountability
AI AgentsWhy AI Agents Will Replace SaaS
8 min read
StrategySmart Model Routing Saved Me 80%
6 min read
EngineeringSelf-Hosted Voice AI for $35/month
10 min read · Replacing Vapi with Pipecat + Deepgram + Cartesia
ArchitectureAgent Memory Systems That Actually Work
7 min read
OpenClawBuilding OpenClaw in Public
10 min read
About the Author
JD Davenport
Former Deloitte consultant, crypto startup founder, BYU MBA student, and builder of AI agent systems. I run 50+ agents on a Mac Mini. My thesis: AI agents have the most impact at $5–100M revenue companies where operational leverage is highest.
Join the Community
Connect with other agent builders, share your setups, get help, and stay in the loop on new frameworks and tools.
Join Discord CommunityWant me to build this for you?
I work with $5–100M companies to deploy AI agent systems that create real operational leverage.
Book a Call at jddavenport.com →