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 →