AI for decision-makers
What to fund, what to ignore, and how to not get burned.
Seven chapters for the person who decides where the money goes. No math, no code — just the judgment to tell a real opportunity from a sales pitch, and to lead an AI initiative to measured results. Optional dive-deepers go further where it helps.
Written for executives, founders, product leaders, and anyone evaluating AI investments. You don't need a technical background; you need to make good calls and ask the right questions.
Chapters
- Chapter 01 · 9 min
Cutting through the hype
“Every gold rush sells more shovels than gold. Your job is to tell the vein from the sales pitch.”
Read → - Chapter 02 · 11 min
Where AI actually creates value
“AI is a tireless intern, not an oracle. Give it the intern's work, not the executive's decisions.”
Read → - Chapter 03 · 11 min
Build, buy, or wait
“You don't churn your own butter to run a bakery. You also don't outsource the recipe that makes you the best bakery.”
Read → - Chapter 04 · 10 min
The real costs
“The puppy is free. The vet bills, the chewed shoes, and the fifteen years are the actual price.”
Read → - Chapter 05 · 11 min
Risk & responsibility
“The fluent answer that's confidently wrong is more dangerous than the obvious error — it doesn't trip the alarm.”
Read → - Chapter 06 · 10 min
Governance & compliance
“Governance is the seatbelt, not the speed limit. It's what lets you go fast without it being reckless.”
Read → - Chapter 07 · 11 min
Leading an AI initiative
“Don't bet the company on one moonshot. Plant a row of seeds, water the ones that sprout.”
Read →