SinachPat
89a3d76122
- Cover: publisher-style belly band across the lower book cover using a compressed banner (2.2MB screenshot -> 60KB WebP, resized to display needs), cropped via a width-locked <img> + percentage offset so the wordmark stays legible rather than getting zoomed/cropped sideways. Compass + wordmark compacted into a row to make room. - Copy: the theme woven through Field Notes, Contents, the Founding Sponsor tier, and one direct FAQ entry -- mostly oblique, since the cover already states it explicitly. Hero/Recipe/Capture/Footer left untouched on purpose.
49 lines
2.1 KiB
React
49 lines
2.1 KiB
React
const QA = [
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{
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q: "Is this AI theory, or something I can actually run?",
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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.",
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open: true,
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},
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{
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q: "How is this different from a course?",
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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.",
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},
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{
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q: "What does “responsible by design” actually mean?",
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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.",
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},
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{
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q: "Can I contribute a workflow after backing?",
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a: "Yes — open contribution opens once the founding library is live. We’re finalizing how contributors get paid (not just a byline) before launch.",
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},
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{
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q: "Why subscribe instead of buy once?",
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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.",
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},
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{
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q: "Why frame this around the American Dream?",
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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.",
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},
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];
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export default function FAQ() {
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return (
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<section className="section faq" id="faq">
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<div className="wrap" style={{ maxWidth: "760px" }}>
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<h2 className="reveal">Frequently asked.</h2>
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<div className="qa reveal">
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{QA.map((x, i) => (
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<details key={i} open={x.open || undefined}>
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<summary>
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{x.q}
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<span className="pl" aria-hidden="true">+</span>
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</summary>
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<div className="ans">{x.a}</div>
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</details>
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))}
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</div>
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</div>
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</section>
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);
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}
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