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As major corporations like LG, Samsung, and Naver competitively run AI talent training camps, Education planners (HR, L&D teams) must manually design level-appropriate curricula each time. Designing a single role-specific (marketing, manufacturing, finance) AI training program takes an average of 2–3 weeks and costs 5–15 million KRW (~$3,750–$11,250) in external consulting fees.
Input the job role, participant level, and training duration, and the tool uses LLM-based generation to auto-create modular curricula (learning objectives, hands-on assignments, evaluation rubrics) while matching open educational content (YouTube, papers, Kaggle datasets) to produce a lesson plan draft. Automatically includes guides for integrating with internal company data and tools.
| 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. |
| 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. |
| 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. |