Posts
All articles on AI-native work patterns, agent infrastructure, and what actually works when running agents as real tools.
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Methodology Is Infrastructure
Every AI session starts fresh. If your methodology lives only in your head, it resets too. The fix is treating it like code.
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Cloud Sync Is the Wrong Storage Layer for AI Agents
Cloud-synced filesystems (OneDrive, Dropbox, Google Drive) are eventually consistent layers masquerading as transactional storage. AI agents write at machine speed and expect durable writes. The architectural mismatch causes silent data loss. The collaboration model is wrong too.
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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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Proof Replaces Persuasion
AI collapsed the cost of building evidence. The rational response is to stop writing alignment documents and start showing working things.
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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.