Articles
25 posts tagged "Encoding Expertise"
Stop Debating Which LLM to Use, That's Not Where the Lock-in Happens
Swapping LLMs is easy. Swapping your organizational memory isn't. The real AI lock-in isn't the model — it's where your expertise, instructions, and institutional knowledge live. Keep it portable or lose your freedom.
The Extraction Pattern: How Companies Actually Start Using AI
Every company follows the same AI adoption pattern. Seven phases from scattered experiments through knowledge extraction to compound results where skills, artifacts, and outputs compound.
The Hardest Thing in AI Right Now Isn't AI
AI feedback loops can't improve without rubrics and quality criteria extracted from human expertise. The real bottleneck isn't technical.
Prompt Engineering Isn't Dead. Your Requirements Just Got Promoted.
Everyone's declaring prompt engineering dead. They're wrong. The part that died was managing the LLM. The part that matters, articulating your unique requirements, just got promoted.
AI Doesn't Replace Expertise. It Makes Expertise Portable.
I built a video post-production pipeline using Claude Code skills. Eight markdown files that automate silence removal, dynamic zoom, color correction, audio mastering, and captions.
How to Adopt AI Coding Without Creating Technical Debt
Five steps to AI code quality that compounds over time — from repeatable process and reviewable decisions to encoded engineering judgment.
You Don't Need a Platform to Sell Your Expertise. You Need a Skill Graph.
There's a new product category emerging called skill graphs. Not SaaS, not courses, not templates. Portable markdown files that teach an LLM how to think about a domain. The buyer owns them. And the real value is in the connections.
AI Can Write. It Just Can’t Think.
AI can write fast, but it can’t think strategically. Four portable markdown products teach your AI how you sound, who you’re writing to, what to create, and where to publish.
I'm Not a Data Scientist. But I Just Published a Leadership Study.
I'm not a data scientist, but I used AI to discover what actually drives 467 corporate leaders. It did what I couldn't do alone.
In today's AI the difference between amateurs and experimenters is orchestration
Instead of hiding where you're using AI, embrace it by highlighting your role in the orchestration. Putting in the work is worth showcasing.
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