I build agentic AI systems and retrieval-augmented generation (RAG) pipelines on top of your product or internal data. Not chatbot demos - production workflows that take real actions, ground answers in your own documents, and hold up under load. Best fit for teams who want AI that reliably does a job, not just talks about it.

What you get:

Agentic workflow design with Claude, MCP, and tool/function calling

RAG pipeline over your data: chunking, embeddings, vector search, and citations

Guardrails, evals, and fallback handling so outputs stay trustworthy

Cost and latency controls (caching, model routing, streaming)

Clean integration into your React/Next.js app with docs and handoff

Stack: Claude, MCP, OpenAI, LangChain, vector databases (pgvector/Pinecone), TypeScript, Next.js. I scope tightly and ship in testable increments. Tell me the outcome you want and I'll propose the simplest system that gets there.

Packages (self-select the scope that fits): • Package A — RAG Pipeline ($9,500 / ~3 wks): One production RAG pipeline over your data — chunking, embeddings, vector search, citations, guardrails, and clean integration into your Next.js app. • Package B — Agentic Workflow ($15,000 / ~4–5 wks): Everything in A, plus multi-step agentic workflows with Claude/MCP and tool-calling, evals, and cost/latency controls. • Package C — Production AI System ($22,500 / ~6–8 wks): Everything in B, plus multiple agents/tools, monitoring + observability, human-in-the-loop review, and hardening for scale. Not sure which tier? Tell me the outcome you want and I'll propose the simplest system that gets there.