Danielius Studio

AI agents & automation

AI - Driven SaaS MVP

Sub - 2 - second category - to - result with an LLM in the loop. Cache the popular 20%, stream the rest, fall back when OpenAI hiccups.

User clicks a category Auth Supabase or Clerk Next.js Web App React, App Router opens app sign in Cache Lookup Redis hit check API Gateway FastAPI Rate Limiter per-user throttle click category lookup throttle Redis Cache precomputed top 20% Prompt Builder templates + context AI Orchestrator routing + fallback Vector Search pgvector hot key cache miss build prompt context OpenAI Primary gpt-4o-mini Response Streamer SSE, first token ~300ms Anthropic Fallback claude haiku send to LLM stream if LLM fails tokens tokens streams to user Background Worker Celery or BullMQ Postgres main store + call log Sentry errors + traces log call popular queries errors Precompute Queue warm popular keys Admin Dashboard read-only metrics queue jobs read-only views warm cache

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