◆ Research
A body of visible work, not a CV.
Independent write-ups on secure GenAI, governance, and the psychology of adoption — grounded in primary sources, no hype, uncertainty shown.
◆ The cornerstone piece
The AI Engineering Pipeline
The whole path, from idea to monitoring. Frameworks, SDKs, and the three kinds of engineering I keep returning to: prompt, context and loop. Plus a working shootout of Claude Code vs Codex vs OpenCode.
LifecycleFrameworksContext engineeringAgent loopsTooling shootout
Read the pipeline →Essays & write-ups
On the blog
Longer pieces on secure GenAI deployment, governance, and the human side of adoption. Each is a dated post.
Secure GenAIGovernanceAdoption
The receipts
Projects
Real, running systems. Honest notes on where each one got to. That includes the design decisions I would defend and the ones I would not repeat.
Open sourceHonest statusLive