Help knowledge workers preserve independent judgment before seeing AI advice, measure how AI changes their answers and confidence
At a glance
- Target users are knowledge workers who use ChatGPT, Claude, Gemini, or Copilot for product, operations, research, hiring, content, and technical decisions. Team leads, consultants, analysts, and AI trainers are the most plausible payers.
Differentiation Opportunity
- Answer first: the AI-advice step stays unavailable until the baseline answer, confidence, and rationale are frozen.
★ Measured entry keyword
brier score
Volume/mo
1,900
KD
—
🔒 The playbook is behind the wall
Free readers get the opportunity and the evidence. Members get measured keyword data, the SERP breakdown, rank feasibility, and the full build plan.
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This report unlocks for everyone on 2026-10-18
Target User
professionals, consultants, analysts, small-team leads, and AI trainers who use ChatGPT, Claude, Gemini, or Copilot for product, operations, research, hiring, content, or technical decisions.
Core Function
Answer-first Decision Flow: capture the question, category, observable outcome, review date, baseline answer, I don't know, confidence from 0–100, and rationale.
Baseline Lock: once submitted, the baseline cannot be overwritten
Differentiation
- Answer first: the AI-advice step stays unavailable until the baseline answer, confidence, and rationale are frozen.
Primary
Priced two-week team AI-reliance audit paid pilot.
Secondary
One-time Pro report/export pack.
🔒 The lines above are the model’s basic take — the full playbook is for members
The monetization playbook maps 4 paths — who pays, at what moment, how much — each checked against free alternatives, differentiation, and path friction, with measured CPCs as evidence of willingness to pay.
See how to unlock ↑
MVP Checklist
SEO Keywords
Free preview · roughly the first quarter
🔒 PROTurn source-video facts and destination requirements into actionable export settings, a size estimate, and delivery-risk checks before a creator publishes or hands off a file.
A researcher, student, or teacher selects a document type and use case and receives same-text comparisons across leading detectors, price/free limits, what each result can and cannot establish, and a checklist of version, citation, and policy evidence to preserve.
A creator uploads a clip or public URL; the browser extracts distinctive keyframes and organizes verifiable source/repost candidates, a timeline, an evidence checklist, and the appropriate platform or copyright next step.