How I turned old conversations into testable hypotheses about my writing, decisions, and way of working—and then into contracts for a personal AI harness.
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Artificial Intelligence
US$200 for a chatbot? I'd call that expensive too if it were only conversation
Less manual execution, more direction and engagement with work. How I evaluate AI spending by what it delivers, including review and rework.

Editorial selection
Start here
A reading path through the ideas, problems, and principles that guide this blog.
Your Company Doesn't Need to Figure Out Where to Put AI
Where to use AI in the company? A practical guide to finding bottlenecks and choosing between process, automation, AI assistance, agents, and human decision-making.
The best answer isn't the one that pleases me most
Why useful agents need to expose uncertainty, point out blind spots, and turn human criteria into a verifiable system.
Editorial archive
Recent reads
Dots reminded me why I built my own harness
Dots offers memory and initiative. In my work, contracts, skills, and explicit criteria still make conversations with my own harness more effective.
You automated the review and outsourced the reading
AI saves the writing of a review, but repeated comments can demand the whole team's attention. Volume does not replace evidence, reading, or judgment.
I-9 Skills: choose, combine and evolve your skills
Duplicate skills, divergent versions and aging instructions: discover I-9 Skills and experiment with better management of your agents' capabilities.
AI made an elephant. The expert sold it as a rabbit.
AI can meet the description and miss the intent. Selling the output without understanding its assumptions turns polish into a false promise of expertise.
If You Have to Remember the Right Prompt, Your AI Harness Hasn't Learned the Job Yet
Criteria should not depend on a brilliant prompt for every request. Skills, context, checks, and limits can turn natural intent into governed work.
If Nobody Knows What Happens Next, You Do Not Have a Workflow. You Have Hope with Steps.
A workflow is a verifiable path from a request to final evidence. Without owners, exceptions, and transition criteria, automation only accelerates chaos.
The Smartest Model Shouldn't Do Everything
GPT-6 Astra and Claude Fable 5.1 show why choosing AI requires cost per task, routing, boundaries, evidence, and governance.
AUTHOR.md is not a biography for AI to invent the rest
A useful author file does not ask AI to guess personality: it records facts, confirmed positions, limits, and sources to guide work without faking authorship.
The Model Is Only the Engine. The AI Harness Is the Whole Car
An AI harness turns a model into an operation: context, memory, tools, policies, validation, observability, and rollback.