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Bible Verse — Case Study

Production SaaS Platform · Full-Stack · Founder & Sole Engineer

A domain-driven SaaS platform with five independently scalable system boundaries: scripture content delivery, RAG-backed AI study, real-time community interaction, async media processing, and infrastructure services — built and operated end-to-end.

Our Results

37K+
Verses Indexed
5
AI Models
5
Bounded Domains
3
Job Queues

How We Built It

  • RAG pipeline grounding AI responses in actual scripture rather than model memory
  • Hybrid Llama / OpenAI routing — local inference for cost, API fallback for quality at the edge
  • Non-blocking media processing — FFmpeg jobs enqueued via BullMQ, API never waits on transcoding
  • Cross-instance real-time consistency via Redis pub/sub behind WebSocket and WebRTC layers

Lessons Learned

  • Domain boundaries enforced at the service layer prevent coupling long before scale demands microservices.
  • RAG retrieval quality matters more than model size — better embeddings outperform a larger model on poor context.
  • Async queue design should be first-class, not bolted on; BullMQ worker isolation saved the request path repeatedly.

Stack

Nuxt 3TypeScriptNitroPostgreSQLPrismaRedisBullMQWeaviateMinIOFFmpegWebRTCWebSocketsLlama 3.2OpenAI APIKubernetes
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