B
AI Content Production Cost Reconciler
3.15
Derivation Chain
Step 1
Korea Creative Content Agency's 19.8B KRW (~$15M) AI content industry investment
→
Step 2
Surge in AI-powered content production studios
→
Step 3
AI contribution calculation and copyright reconciliation tool
Problem
When producing AI-assisted content (webtoons, videos, music, etc.) funded by government grants, there are no standards for calculating the ratio of AI contribution vs. human contribution, leading to disputes over copyright ownership and production cost settlement. During grant reconciliation, AI tool usage fees cannot be categorized as labor costs, causing an average 2-3 week delay in accounting.
Solution
Automatically collects AI tool usage logs throughout the content production process, calculates AI/human contribution ratios, and auto-generates supporting documentation in the format required for government grant reconciliation Reports. Built-in copyright attribution guidelines proactively flag Legal risks.
NUMR-V Scores
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 (69%)
Data Availability
20.0/25
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 (56/100)
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]
Frontend [medium]
AI/ML [low]