Pre-publish compliance scanner for AI-generated ebooks that validates Amazon KDP's AI-disclosure policy, plagiarism risk, and formatting rules; agencies and publishers pay per scan or subscription. · AI content compliance
DEAD SLOW · CAUTIOUS
5.4 ShipScore / 10
Strong automation, weak control — entire value hinges on Amazon KDP policy.
Condition: Ten agencies or KDP publishing shops must pre-pay for scan volume before you build detection infrastructure.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
4
C4 — value exists only while Amazon keeps its AI-disclosure rule
Entry barriers
4
E4 — scanner is weekend-cloneable; DisclosureTrail already gives disclosures free
Need
5
N5 — Originality.ai's $200k proves detection spend, not KDP-compliance spend
Time-freedom
8
T8 — per-scan SaaS, no human review loop in the flow
Scale
6
S6 — global self-publishers, but low-ACV hobbyist buyers cap revenue
What the five commandments measure
C — Control
Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry
How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need
Is demand proven with money rather than vibes?
T — Time
Can income detach from your hours, or did you buy yourself a job?
S — Scale
How far does it reach without linear cost?
Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.
02 — The pace test — $1M/yr
At $29/mo (assumed category price), you need 2,874 subscribers for a $1M/yr pace.
Corpus tracks only 1 similar product; no funded companies in this space
Reddit: zero demand signals for these keywords
X: negligible traction — product posts at 0–1 likes; complaints minimal, only isolated KDP-removal notes
05 — Risks
Amazon softening or automating AI disclosure erases the compliance need entirely
Self-published authors are notoriously price-sensitive; agency buyers may be too few
Plagiarism/AI detection accuracy is contested — false positives destroy trust fast
Free alternatives (DisclosureTrail) anchor the disclosure feature at $0
06 — Kill switches — what kills this with one decision
Amazon KDP policy team — Drops or auto-handles AI disclosure and the product's reason to exist vanishes
Detection API vendor (Copyleaks/Originality-class) — Price hike or reseller ban guts your core scan margin and feature
KDP formatting/upload pipeline changes — Amazon ships its own pre-publish checker inside the dashboard for free
Part III — The Plan if you insist on proceeding
07 — What this scan can't tell you
Cannot tell whether agencies, not hobby authors, actually hold the budget
No data on per-scan pricing tolerance or repeat scan volume per title
Unknown how accurately KDP enforcement currently flags undisclosed AI books
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-09-23.
08 — The wedge & the next step
Sell bulk pre-publish scans to KDP ghostwriting agencies and publishing services, not individual authors — volume API, audit log, client-ready compliance report.
Cheapest next step: DM 15 KDP ghostwriting/publishing agencies on X and LinkedIn offering 20 manual pre-publish audits at $10 each; count who pays.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 5.4 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.
One evidence-backed gap a day, free
Close — but conditional. Every morning the engine files one mined gap, scored on the same harsh scale as this one. Free at 7am AEST, unedited.
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Monitor this idea
Weekly re-scan against the live corpus. If the market moves this ShipScore by a point, or flips the verdict, you hear about it. Free while we're small.