Context-aware prompt compression: Trimming conversation history by 65% without losing semantic intent
The Engineering Problem
Modern AI paired programming and conversational UI generation struggle with context bloat and cascading syntax errors. When an AI generates monolithic files, single tag breaks ruin entire layouts.
Architectural Solution
• Modular Block Compilation: Breaking UI synthesis into isolated AST-validated blocks.
• Art & Golden Ratio Theory: Structuring a comprehensive DESIGN.md prompt specification for visual harmony.
• Dual Model Engine: Dedicated in-house Neo v0.1 vision on dual GPUs + external reasoning APIs.
• Zero-Storage Auth: Ephemeral 384-bit single-use tokens with zero password databases.
The Economic Model
Transparent pay-as-you-go pricing at ₹0.25 / credit (no monthly subscriptions).
Explore & Contribute
Test the experimental builds and share architectural feedback at luxurai.in.
Engineered by Achyut Srivastava (Founder, 14) & Shubham Dangi (Co-Founder, 15) / LuxurAI
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