Project
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.
Technology
PostgreSQL · pgvector · Gemini 3.1 Pro · Claude 4.5 Sonnet · Python · Pandas
Key innovations
- 01Schema-First approach converting visual PDFs directly into standard JSON structures
- 02Hybrid architecture strictly separating AI clustering from deterministic Pandas gap analysis
- 03Semantic similarity clustering matching documents with >85% underlying data overlap
- 04Automated High-Fidelity Mockup generation safely injecting client data into baseline HTML
Status
concept validation
Proof of concept with essential features functional.
Scope
5,000 lines of code · 5 features · maturity 6.5/10
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