One lesson from building a RAG-based SaaS product: a useful AI application needs much more than an LLM API. The real engineering work is in: • Preparing and indexing the right data • Retrieving relevant context consistently • Keeping user and workspace data isolated • Designing clear loading and error states • Showing sources so users can trust the answer • Monitoring cost, latency, and response quality That is the difference between an AI demo and a product people can rely on. I enjoy building these systems end to end—from the Next.js interface and Node.js APIs to retrieval workflows and production-ready product logic. Here is one of my related case studies: https://contra.com/p/rgFqO2e3-lawvera-rag-saa-s-platform If you’re exploring a practical AI feature, chatbot, or RAG workflow for your SaaS product, I’d be glad to connect. #AIEngineering #RAG #SaaS #NextJS #FullStackDevelopment