Turn AI from a demo into a working part of your product or operations. I design and build AI agents and LLM features that live inside your existing .NET or Node.js systems, with the authentication, logging and error handling a business application needs.
WHAT YOU GET
• An AI assistant or agent using the Claude or OpenAI APIs, with tool calling into your own APIs and databases.
• Retrieval-augmented generation (RAG) over your documents, tickets, or database records, with citations, using PostgreSQL and pgvector or Azure AI Search.
• Connection to your systems through tool calling, or through my MCP Servers service when the assistant needs to act, not just answer.
• Guardrails: permission checks, human approval steps, cost limits, and full audit logs of every model call.
• Deployment to Azure, AWS or Kubernetes with Docker, plus CI/CD.
TYPICAL PROJECTS
• "Ask our data" assistant for internal teams over policies, contracts or product documentation.
• Agent that reads a request, gathers context from three systems, drafts the response, and waits for a human to approve.
• Adding an AI copilot to an existing ASP.NET Core or React application.
WHY ME
15 years building enterprise .NET systems means I know where AI fits and where it does not. I have built agent pipelines and MCP integrations for a multi-service .NET platform and I am comfortable with the unglamorous parts: security, cost control, testing, and observability.
HOW IT STARTS
A 30-minute call, then a written plan with milestones. Minimum engagement $500. Fixed-price packages available for a defined scope.