Architecting Verified AI Systems for Enterprise.
Models are Probabilistic. Your Orchestration Must Be Deterministic.
An LLM is a powerful engine, but it lacks boundaries. I architect the system layers that surround the model—connecting it to your live data and strictly enforcing your business logic, whether it’s rigid compliance or dynamic personalization. The AI operates strictly within your defined guardrails.
Live Production Deployment
Case Study:
Zendolla Fashion Platform
We deployed our Generative Vision Engine to power a deterministic Style Advisor. It reads personal wardrobe imagery, correlates it with retail inventory, and constructs the optimal outfit for any specific occasion.
// Capability: Visual Ingestion (Photos) & Context Awareness.
Analyzes Wardrobe Photos via Computer Vision
Matches Retail Inventory to Occasion Context
No Inventory Hallucinations
style_advisor_core.ts — Connected
01constOccasion = "Business_Dinner_NYC";
02awaitVision.analyze_wardrobe(user_photos[]);
03awaitInventory.find_match(Occasion, Stock);
04returnStyleSolver.construct_outfit();
# Input 1: Physical Wardrobe (Vision)
# Input 2: Global Retail Stock
# Output: Deterministic Look
# Input 2: Global Retail Stock
# Output: Deterministic Look
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