The Patterns Behind 40+ Production Agents.
I run a platform with 40+ AI agents that manage everything from family logistics to content pipelines to client projects. These blueprints are the distilled, implementation-ready patterns behind that system — the architecture, the memory models, the guardrails, the workflows.
Each blueprint includes the guide, the templates, and the architecture diagrams you need to implement the pattern in your own system. Not theory. Not slides. Working patterns.
Articles Teach Concepts.
Blueprints Ship Systems.
My articles explain what agentic development is and why it matters. Blueprints go further — they give you the exact architecture, the file structures, the decision flowcharts, and the implementation checklists I use in production. You finish reading and you can build.
What you get from a blog post
- ▸ Understand the concept and why it matters
- ▸ See a simplified example or two
- ▸ Still need to figure out your own architecture
- ▸ Gaps between understanding and implementing
What you get from a blueprint
- ▸ Architecture diagrams — the full system picture
- ▸ Implementation templates — copy, customize, ship
- ▸ Decision flowcharts — when to use which pattern
- ▸ Production examples — from real running systems
Blueprints
premium
The Copilot Life OS Blueprint
Your AI assistant forgets everything the moment you close the terminal. This blueprint changes that. Learn how to build a persistent, always-on life OS using GitHub Copilot CLI — with extensions for any capability, agents that remember across sessions, autonomous scheduling, multi-agent coordination, and governance systems that keep it all running safely. Every pattern comes from a real production system managing a family of 5 with 50+ agents.
- ▸ Telegram bridge extension starter
- ▸ Cron scheduler extension starter
- ▸ Multi-agent templates (4 types)
- +5 more
The Agentic Development Blueprint
Your AI coding agent is only as good as the system around it. This comprehensive blueprint covers what agents actually are, how context engineering shapes their output, the three-layer safety model, core infrastructure and sandboxing, delegated agent architectures with steerability, three workflow patterns from single-threaded to autonomous, continuous AI patterns, the 7-layer AI governance stack for production safety, a step-by-step transformation path from messy codebase to production-grade agentic workflow, a complete platform engineering chapter that scales these patterns across your entire organization, GitOps patterns that make your entire agent platform declarative and governed through Git, and a production cron architecture that runs roughly 60 scheduled jobs autonomously with zero human triggers, and a complete chapter on building Copilot plugins as domain-expert AI teammates — manifest architecture, skill YAML patterns, MCP tool integration, and production patterns from three real plugins.
- ▸ Context compaction templates
- ▸ copilot-instructions.md starter
- ▸ CI pipeline configs (GitHub Actions)
- +21 more
core
Blueprints Cover Patterns.
Consulting Covers Your Codebase.
Blueprints give you the architecture. If you need hands-on help implementing it in your specific codebase, team, and stack — that's what consulting is for.
Book a Consultation →