ArchonHQ Series
ArchonHQ publishes eight technical series for builders who ship AI systems, not just read about them. From content strategy and CLI tools to enterprise architecture and knowledge systems. Every article gives you working code, clear opinions, and the engineering thinking behind the decisions.
Master the craft of AI-powered content creation. Caliber dissects the psychology, strategy, and mechanics behind content that converts from hook architecture to prompt anti-patterns. Every article is a weapon.
Build it yourself. Shipyard delivers complete, working CLI tools in under 200 lines of Python: package managers, validators, resilience patterns, SEO engines. Copy the code, ship the tool, skip the dependencies.
Signal cuts through the AI noise. Deep technical dives into agent architecture, local LLM deployment, MCP servers, and the engineering decisions that separate toy demos from production systems. No hype, just working systems.
The MCP mastery series. Forge covers everything from building your first Model Context Protocol server to composing multi-server architectures with auth, streaming, and home automation. The complete MCP developer playbook.
Production AI breaks in ways dev demos never predict. Crucible tackles testing, observability, idempotency, and deterministic agent behaviour the engineering discipline that turns fragile prototypes into reliable systems.
Run AI on your own hardware, behind your own firewall. Bastion covers local LLM deployment, private RAG, air-gapped architectures, hybrid cloud-local patterns, and data sovereignty. Everything to own your AI stack end to end.
Enterprise architecture lives in contradictions. Keystone maps the tensions, principles, and decision frameworks that hold complex systems together: from service boundaries to error budgets to vendor strategy. The keystone holds the arch.
Build knowledge systems that compound. Atlas teaches schema-first knowledge architecture for AI agents with structured markdown, frontmatter schemas, cross-references, and linting. Skip the vector store. Let the schema do the retrieval.








