Notes on AI agents, task handoffs, review steps, and work people can use.
A response to the bread paradox that reframes the SaaS debate around strategic workflows, full opportunity cost, disciplined agentic engineering, and software ownership.
Introducing a practical workbench for bringing agents into software delivery without losing engineering control.
Knowledge becomes infrastructure when it is captured, connected, reviewed, and maintained so AI agents can use it under human direction.
A reflection on AI-era engineering, builder-led leadership, and the engineering culture needed to turn business work into safe, useful systems.
Documentation is becoming part of how AI systems answer questions and do work, which makes maintained knowledge a core operating asset.
A framework for mapping current work, deciding where AI can help, naming what stays human-owned, and choosing the first workflow to improve.
A practitioner essay on token economics, model routing, and why serious AI work needs just enough intelligence for each part of the job.
A practical protocol for using Think path, Build path, Safe Lane, and local model delegation while keeping accountability intact.
A practitioner essay on AI slop, judgment, and why serious AI writing needs a repeatable review system.
A response to Fast Company's coverage of Microsoft's 2026 Work Trend Index, and why the next AI advantage comes from clearer work, human judgment, and reusable habits.
