Practice Notes — Daniel Dailey

Featured note AI adoption

The barriers are social before technical

Why most AI projects don't stall on the model — and how to get real adoption without a mandate.

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Efficiency AI vs. opportunity AI

Chasing efficiency is easy. Building leverage is harder. Here's the difference, and why it matters.

Treat AI like a teammate with a memory problem

Practical ways to give context, get better outputs, and build reliable systems around the gap.

The new builders are already inside your company

Look for curiosity, judgment, and domain knowledge. Teach the rest.

Data first, interface second

Good interfaces don't fix messy, incomplete, or conflicting data. Start underneath.

Hourly pricing breaks when AI changes speed

When the work gets ten times faster, what exactly are you billing for?