01
Project Awareness
The entry point. We define the context by analyzing resources and constraints. The system determines the "Weight Class" of the project before generating ideas.
Example 1: Local Business
US
User Input
I have $100,000 and a small premise of 100 m2 on the 1st floor in the center of Warsaw. I want to launch a business there, advise me something.
System Awareness
WARSAW CENTER
AVG BUDGET
HIGH TRAFFIC
Budget Density
$1,000 / m²
⚠ Not viable for Luxury segment
Required Strategy
Creativity & Trends
Flexibility > Expensive Materials
AI_LOG: Project classified as "Local Business". Capital allocation ($1,000/m²) is average for Warsaw Center.
CRITICAL INSIGHT: You cannot compete with established brands using "Luxury" or "Premium Classic" renovation strategies. To succeed, the business model must rely on Innovation, Viral Trends, and High Adaptability.
Next Step: Searching for high-turnover niche concepts.
CRITICAL INSIGHT: You cannot compete with established brands using "Luxury" or "Premium Classic" renovation strategies. To succeed, the business model must rely on Innovation, Viral Trends, and High Adaptability.
Next Step: Searching for high-turnover niche concepts.
Example 2: R&D Tech Startup
US
User Input
Hi, I have $50,000 and I want to come up with an innovative AI technology. I am not a programmer myself, but I am ready to invest.
System Awareness
HIGH RISK
LOW R&D BUDGET
NON-TECHNICAL FOUNDER
Feasibility Check
Core R&D: IMPOSSIBLE
$50k < $500k (Min R&D Entry)
Recommended Pivot
Application Layer
Wrapper / Niche SaaS / MVP
AI_LOG: Analyzed resources: $50k. Analyzed profile: Non-Technical.
CRITICAL WARNING: Creating "New Innovative Technology" (Deep Tech) is not feasible with this budget and skillset. Training foundation models is blocked.
To succeed, we must shift focus to the Application Layer — solving a specific business problem using existing AI models.
Next Step: Identifying narrow niche markets for a Low-Code MVP.
CRITICAL WARNING: Creating "New Innovative Technology" (Deep Tech) is not feasible with this budget and skillset. Training foundation models is blocked.
To succeed, we must shift focus to the Application Layer — solving a specific business problem using existing AI models.
Next Step: Identifying narrow niche markets for a Low-Code MVP.