Artificial Intelligence
My journey into artificial intelligence, machine learning, and how AI is reshaping the future of work and technology.
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Agent Memory Without the Mythology
A practical architecture for AI memory built from working state, durable facts, episodic records, retrieval policy, and deliberate forgetting.- Published on

Context Engineering Is Interface Design
How to design the information boundary around an AI agent so instructions, evidence, tools, and working state remain legible under pressure.- Published on

Composable AI Systems: Architecture That Can Change Without Losing Control
A practical architecture for building AI systems from bounded capabilities, explicit contracts, least-privilege tools, durable state, and verification gates.- Published on

The Agent Harness Is the Real Product
Why model capability only becomes dependable work through a harness that manages context, tools, state, permissions, recovery, and verification.- Published on

The Loop and Goal Workflow: How Long-Running AI Work Actually Finishes
A practical look at Codex Goal mode, automatic continuation, verification, steering, and the discipline required to make long-running agent work finish honestly.- Published on

Sol, Fable, Mythos, and Kimi K3: The AI Model Race Is Splitting Apart
What the newest frontier models reveal about tiered intelligence, long-running agents, safety-gated capability, and the return of open-weight competition.- Published on

Composable AI Architecture
How subagents, workflow orchestration, and durable state turn AI from a bolt-on assistant into a composable delivery capability.- Published on

A Practical Start With Claude Code
A working introduction to Claude Code that focuses on memory, operating rhythm, and the habits that make it useful on real projects.- Published on

Agent Engineering Playbook
A guided series on Claude Code, skills, MCP, subagents, orchestration, recursive workflows, and Gas Town.- Published on