AI Prompt Design Doc Generator

4.30

Derivation Chain

Step 1 Proliferation of AI coding tools reducing manual code writing

→

Step 2 Prompt engineering becoming a core competency

→

Step 3 Tool to convert prompts into formalized design documents

Problem

As AI coding tools become widespread, prompts have effectively become 'design specifications'—yet they remain buried in personal chat histories, making sharing, version control, and review impossible. Teams implement the same features with different prompts, causing significant quality variance, and prompt expertise is lost when employees leave.

Solution

Automatically converts natural language prompts into structured design documents (purpose, constraints, I/O specs, quality criteria). Supports prompt version control via Git integration, team prompt library creation, and prompt review workflows.

Target: 10-30 person development teams actively using AI coding tools, tech leads at IT agencies

Revenue Model: SaaS Monthly Subscription at 49,000 KRW (~$37) per team/month (10 seats included). Additional seats at 3,900 KRW (~$3)/month each. 14-day Free Trial

Ecosystem Role: Supplier

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

4.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

5.0/5

V Validation

4.0/5

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 (74%)

Tech Complexity

29.3/40

Data Availability

24.4/25

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 (60/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

18.0/20

Revenue Signals

9.0/15

Pick-Axe Fit

12.0/15

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] Frontend [medium] AI/ML [low]

Dashboard