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Document Rationalizer
AI-Augmented Document Gap Analysis
A stateful workspace for ingesting client PDF samples, intelligently clustering them into templates, and performing strict, deterministic gap analysis against baseline product offerings.
Lines of Code
5,000
Features
5+
Innovations
4
Maturity
6.5/10
Technology Stack
PostgreSQLpgvectorGemini 3.1 ProClaude 4.5 SonnetPythonPandas
Key Innovations
1
Schema-First approach converting visual PDFs directly into standard JSON structures
2
Hybrid architecture strictly separating AI clustering from deterministic Pandas gap analysis
3
Semantic similarity clustering matching documents with >85% underlying data overlap
4
Automated High-Fidelity Mockup generation safely injecting client data into baseline HTML
Project Status
Current Status
concept validation
Proof of concept with essential features functional
Functional Completeness
6.5/10
Core features complete, room for enhancement