https://ayaanmotiwala.com/blog AI Specialist from Surat building production multi-LLM systems, voice calling agents, and automations that survive real users. Book a consultation. en https://ayaanmotiwala.com/blog/multi-llm-system-architecture https://ayaanmotiwala.com/blog/multi-llm-system-architecture Mon, 15 Jun 2026 00:00:00 GMT A deep architecture guide to multi-LLM systems — model routing, fallbacks, cost instrumentation, and caching — from someone who runs these in production and cut a client's model bill 40–60%. AI https://ayaanmotiwala.com/blog/ai-voice-calling-agent-walkthrough https://ayaanmotiwala.com/blog/ai-voice-calling-agent-walkthrough Mon, 08 Jun 2026 00:00:00 GMT How to build an AI voice calling agent that holds real phone conversations — the STT to LLM to TTS pipeline, sub-second latency, interruption handling, and clean human handoff. Built from a live production system. Voice AI https://ayaanmotiwala.com/blog/langchain-rag-tutorial https://ayaanmotiwala.com/blog/langchain-rag-tutorial Thu, 28 May 2026 00:00:00 GMT A practical LangChain RAG tutorial that goes past the demo — chunking strategy, embedding choice, hybrid search, evaluation, and the source-citation grounding that keeps a chatbot from making things up. AI https://ayaanmotiwala.com/blog/n8n-vs-make-ai-workflows https://ayaanmotiwala.com/blog/n8n-vs-make-ai-workflows Fri, 15 May 2026 00:00:00 GMT A hands-on n8n vs Make comparison for AI automation — pricing, AI nodes, self-hosting, error handling, and which one I actually reach for on client builds, with a clear decision rule. Automations https://ayaanmotiwala.com/blog/fastapi-llm-deployment https://ayaanmotiwala.com/blog/fastapi-llm-deployment Sat, 02 May 2026 00:00:00 GMT How to serve LLMs in production with FastAPI — async streaming endpoints, auth, rate limiting, caching, and observability. The production scaffolding I rebuilt one too many times, explained. AI https://ayaanmotiwala.com/blog/vector-database-comparison https://ayaanmotiwala.com/blog/vector-database-comparison Mon, 20 Apr 2026 00:00:00 GMT A practical vector database comparison for RAG — pgvector vs Pinecone vs Chroma on cost, scale, ops, and filtering. Which one I default to, when I switch, and the decision rule I use on client builds. AI