B

LLM Prompt Compliance Checker

3.15

Derivation Chain

Step 1 Flood of Chinese AI models + public education AI adoption
→
Step 2 AI service prompt safety concerns (Regulation)
→
Step 3 Automated prompt I/O regulatory compliance verification service

Problem

Startups and EdTech companies running AI services dedicate 1–2 full-time QA staff to verify that LLM prompt outputs comply with Korean regulations including the Personal Information Protection Act, Youth Protection Act, and the draft AI Basic Act. For education-focused AI services, a single inappropriate content exposure can trigger service suspension and media coverage, requiring 2–4 weeks of pre-launch compliance review.

Solution

Input LLM prompt templates and sample outputs for automatic scanning against Korean AI regulations (Personal Information Protection Act, Youth Protection Act, AI Basic Act draft). Auto-generates risk level ratings (High/Medium/Low) by violation type + remediation suggestions + regulatory citation reports.

Target: PMs and QA at AI service Startups (5–30 employees); legal/compliance teams at EdTech companies
Revenue Model: Per Transaction: $3.75 per prompt review; Monthly Starter $74/month (100 reviews); Pro $217/month (unlimited + API integration)
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
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
22.5/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] AI/ML [medium] Frontend [low]
Dashboard