Case Study · Agentic Architecture2025
NutriFit
An agentic SaaS architecture for nutritionists: AI orchestrates live dietary plans with real-time streaming and instant kNN meal swaps.
The Real Problem
Nutritionists and athletic trainers juggle patient dossiers, meal regimes, workout schedules, and recurring payments across fragmented tools. Existing apps offer static tables or slow blocking AI endpoints that freeze user workflow.
How the Solution Works
Unified platform: patient health records, dietary and workout prescription, calendar sync, and Stripe recurring billing. Complex plan generation triggers an asynchronous Celery agentic pipeline.
Why it Matters / Engineering Value
Exemplifies a production-grade enterprise AI architecture: decoupled task workers, non-blocking SSE streaming, graceful fallback, and hybrid synthesis of LLM generation with deterministic vector math.