Posts
Independent essays on AI-native work patterns, agent infrastructure, and what actually works when running agents as real tools.
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We're All Builders Now
AI didn't make building easier. It removed the gate that decided who got to try.
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Your AI Agent Needs Communication Modes, Not a Voice Clone
Every AI platform treats voice as a single axis. But knowledge workers switch between six distinct communication registers daily. The fix is mode-specific profiles — engrams — not better cloning.
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Every AI Tool Encodes a Cognitive Mode
The friction you feel using the wrong AI tool isn't a prompting problem — it's a mode-matching problem.
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llms.txt — Making Your Site Navigable by Agents
HTML was designed for browsers. llms.txt is the interface layer that makes your site a first-class citizen in agent workflows — discoverable, consumable, and citable in a single request.
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Skills as Institutional Memory — Why Individual Craft Doesn't Compound Without Distribution
You built a workflow that saves four hours a week. It lives on your laptop. Nobody else benefits. That's not a knowledge management problem — it's a distribution architecture problem.
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What the Engram Builder Gives You — And What You Have to Add
The tool extracts a voice profile from your messages in one session. That's the easy part. Here's what's missing and how I extended it.
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Voice Is a Layer, Not a Setting
Every writing skill that embeds its own voice definition will drift. The fix is separating mode, voice, format, and publish into four independent layers.
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What Is a Skill — Why Methodology Resets Every Session Without One
Every agent session starts from zero. The model is brilliant. The tools are connected. And still — you spend the first ten minutes re-explaining how you work. Skills are the fix.