const QA = [ { q: "Is this AI theory, or something I can actually run?", a: "Something you run. Every workflow shows the real tool output, lists the real steps, and ends in a ~15-minute Try-it on non-confidential sample data. If you can’t run it, it doesn’t ship.", open: true, }, { q: "How is this different from a course?", a: "A course teaches concepts; this is a field guide of tested recipes you apply to your real job this week. It refreshes annually because AI moves fast — stale advice is worthless.", }, { q: "What does “responsible by design” actually mean?", a: "Every recipe includes data-handling rules, human-oversight steps, failure modes, and escalation paths. They’re part of the template — not an appendix, not an afterthought.", }, { q: "Can I contribute a workflow after backing?", a: "Yes — open contribution opens once the founding library is live. We’re finalizing how contributors get paid (not just a byline) before launch.", }, { q: "Why subscribe instead of buy once?", a: "Because a static AI book is out of date in months. The subscription is what keeps every workflow current — and it’s what funds the practitioners keeping them that way.", }, { q: "Why frame this around the American Dream?", a: "Because for most of the people writing and reading this guide, real fluency with these tools isn’t a slogan — it’s a practical ladder. Nobody in this book inherited their edge; they built it, one real skill at a time. We think this is the next one worth building.", }, ]; export default function FAQ() { return (

Frequently asked.

{QA.map((x, i) => (
{x.q}
{x.a}
))}
); }