
The AI Coding Paradox
AI coding tools feel like they're working, but the data says otherwise. The best engineers aren't coding faster — they're asking better questions.

The Danger of "Everyone Knows"
Cloud migrations, CDO hiring sprees, and AI pilots all followed the same pattern: unanimous agreement, then expensive reversals. Consensus is a warning sign.

The Dashboard Delusion
Most analytics projects fail because organizations build dashboards before defining what decisions they would make differently.
MilkyWayPlanner.com: A Planning Tool for Night Sky Photography
MilkyWayPlanner.com simplifies night sky photography planning with free Milky Way calendars, moon tracking, and trip planning for any location.

Competent or Just Confident?
95% of enterprise AI tools never reach production. A polished sales demo doesn't mean competent delivery — here's how to evaluate AI vendors.
My Milky Way Planning Process
My Milky Way planning process includes picking dates months ahead, to making go/no-go decisions on shoot day.

The Disconnect
Technical teams know what AI can do. Operations teams know what problems cost money. They're rarely in the same conversation

Foto Friday: Sentinel
A scouting trip, a dead tree, and a clear night in Colorado. Sometimes that's all it takes.

The One Decision That Determines Whether Your AI Project Succeeds
Build, buy, or wait? Most AI projects fail because teams pick technology before understanding the problem. Here's a framework for getting it right.

Decision Velocity
High-trust organizations decide in 3 days. Low-trust ones take 4 weeks. Like F1 pit stops, consistency and speed determine who wins markets.

Utah Badlands
Where ancient volcanic ash meets the last light of day. A landscape so alien, NASA uses it to test Mars rovers.

The Rituals of AI Adoption
Organizations spend $109 billion on AI adoption while 74% can't demonstrate value. Why the rituals matter to some more than the results do.
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