Problem
Founders often start with broad ideas but no repeatable way to turn an industry choice into a realistic plan, staffing model, income assumptions, or startup sequence.
R&D case study
NAICS Startup Planning System
Planning system that turns broad startup ideas into structured, traceable business planning steps.
At a glance
Delivery stage
R&D
Current state
Prototype
My role
Sole architect and full-stack engineer
What was built
Built as an offline-first planning engine backed by the full NAICS hierarchy. The system combines rules-based role generation, income modeling, dependency-ordered startup procedures, and explainability views so users can inspect why each recommendation was produced.
Result
Working planning engine with rules-based role generation, income modeling, and explainability views across NAICS hierarchy
How the system was structured
This section shows the operational logic behind the build, not just the user-facing surface.
Key system pieces
Rules engine converts industry data into launch-plan structure.
Explainability layers make the output inspectable rather than magical.
Offline-first runtime keeps the system usable without external APIs.
Core constraint
Explainability: every generated recommendation must trace back to a rule, data source, or constraint, not a black-box model
Stack
Next.jsPrismaSQLiteZodRules EngineSnapshot Tests
Supporting proof
The planning engine is supported by a documented rules architecture and outputs that show the provenance of each recommendation.
Planning engine diagramRules traceGenerated plan artifacts
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