AI Hype Fact-Checker

3.30

Derivation Chain

Step 1 Spread of AI overvaluation warning discourse

→

Step 2 Confusion in AI adoption decision-making

→

Step 3 AI Solution performance claim fact-checking tool

Problem

As warnings about 'AI overvaluation' from U.S. economists grow, distrust of AI Solution vendors' performance claims is increasing. When SME IT managers evaluate AI Solutions for adoption, they cannot independently verify vendor claims like '95% accuracy' or '80% cost reduction,' leading to $7,500–$37,500 in annual waste from falling for exaggerated marketing.

Solution

(1) Input AI vendor performance claims (accuracy, cost savings, etc.) and automatically cross-reference them against public benchmarks, academic papers, and real-user reviews to produce a reliability rating, (2) provide realistic performance ranges and adopter feedback summaries for the relevant domain, (3) offer a test scenario generator for pre-adoption self-verification.

Target: SME IT managers or CTOs evaluating AI Solution adoption (20–200 employees, $750K–$7.5M annual IT budget)

Revenue Model: Premium Model: 3 Free fact-checks/month, Pro plan $44.25/account/month (unlimited), Enterprise plan $142.50/month (team of 5)

Ecosystem Role: Consumer

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

4.0/5

M Market

3.0/5

R Realizability

4.0/5

V Validation

2.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (72%)

Tech Complexity

29.3/40

Data Availability

23.1/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (50/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

7.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Backend [medium] Data Pipeline [medium] Frontend [low]

Dashboard