Tag · 29 essays
The piece I wrote on harnesses described five component layers that every production agentic system needs: orchestration and planning, an execution environment, validation and quality control, context and memory management, and logic and interaction.
Shop CLI: A Tool Built for AI Agents, Not Humans
Not all business relationships do the same job. Research shows which ones survive the agentic economy, and which were always just expensive due diligence.
The skill that actually makes AI useful: meta-prompting
The short version: When an AI agent gets a task 80% right, you can patch the last 20% by hand and ship today, or fix the instruction behind it and never touch that task again. The patch is faster now. The fix compounds. Most people, me included, pick the patch too often, because the economics that should govern the choice have changed and our instincts haven't caught up.
Fable is back. And it's changing how I think about thinking.
Antony Evans argues that building an AI system is farming, not hunting: there is no finished, shipped state, only a system you keep tending as models change.
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Google launched AI checkout at scale. Your store is in the system. You still won't appear. Here's the part nobody is explaining.
Not all business relationships do the same job. Research shows which ones survive the agentic economy, and which were always just expensive due diligence.
The COO's job in an AI-first company is to build the operating system the company runs on. Here is what that OS looks like and how to build it.
Agents won't kill business relationships. They'll sort them. The ones doing low-value information work will quietly become unnecessary. The ones doing the hard human jobs will become rarer, and more valuable.