A complete, sourced, 264-page founder blueprint for building OriginalMind — a process-verification academic-integrity platform that checks how student work was made, not whether the finished text "sounds like AI." Product architecture, MVP scope, pricing, GTM, financials, PRD, and 40+ user stories, ready to build from.
Detection tools are losing a race they can't win — and the data shows teachers know it. This book starts by fact-checking the "62–68% of teachers" statistic you've probably seen floating around, replaces it with what's actually verifiable, and builds the entire business case from there.
This isn't a summary of AI-in-education trends. It's an end-to-end startup blueprint — the kind you'd hand to a founder, a product team, or an investor and say "build from this."
"Verify the learning. Not the text." OriginalMind captures draft evolution, revision history, research activity, and short oral follow-up questions — then routes a contextual evidence profile to a human educator who makes the final call. No single signal ever produces a verdict.
18 modules, complete end-to-end workflow, and UX specs for 27 teacher/student/admin screens.
The core IP design — a conceptual scoring model with explicit false-positive safeguards.
12 customer segments, 9 personas, Jobs-To-Be-Done, and a recommended primary ICP.
FERPA/COPPA/GDPR orientation, an Ethical AI Framework, and a security program roadmap.
4-tier pricing, 3 unit-economics scenarios with full formulas, and a TAM/SAM/SOM model.
Sales scripts, a 30-day content calendar, 5 lead magnets, and a 10-email funnel sequence.
The 12 documents counsel needs to draft, plus a security-program roadmap — not legal advice.
A professional product requirements doc with acceptance criteria, ready for engineering.
A 14-slide investor deck outline, 3-year roadmap, and a 7-day-to-12-month founder action plan.
A ready-to-execute blueprint instead of a blank page.
A full PRD, architecture, and MVP scope to build from.
A diligence-ready view of the category, model, and risks.
A clear-eyed look at what a tool like this would — and wouldn't — do.
No subscriptions, no upsells — everything below is included the moment you check out.
40 ready-to-paste prompts across product, engineering, GTM, and fundraising.
MVP-readiness, pilot-readiness, privacy/security, and investor-meeting checklists.
A ready-to-send one-pager you can customize and email to a school this week.
Every term defined, every statistic traceable to its original source.
OriginalMind just launched, so we're not going to invent reviews to fill this space. Here's where real reader feedback will go as it comes in.
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This is a complete written blueprint — product architecture, PRD, business model, and go-to-market plan — not source code. It's built so a founder or engineering team can build the actual product from it.
Yes — every statistic is sourced to organizations like the Center for Democracy & Technology, Stanford GSE, NCES, and The Markup, with citations throughout and a full reference list. Numbers that are the book's own planning assumptions or estimates are clearly labeled as such, never presented as fact.
No. It's written for founders, product managers, and operators as much as engineers — technical sections describe categories and architecture in plain language, with the PRD and user stories giving your engineering team something concrete to build from.
A 264-page PDF and a DOCX version, delivered as an instant digital download after checkout.
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