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[ 01 — 06 ] Services

What we can build together.

Six clearly defined practice areas. Every project is scoped up front — no surprises later.

[svc.01] 01

Chatbots & conversational assistants

Assistants with personality, context and memory. Embedded where your users already are.

I design assistants that understand your domain and hold useful conversations instead of generic replies. I work with OpenAI, Anthropic or open models depending on the use case, with guardrails, evals and a panel for prompt iteration. Deployment to web, WhatsApp, Slack or your own channels.

  • Anthropic
  • OpenAI
  • LangGraph
  • Vercel AI SDK
[svc.02] 02

RAG systems

Semantic search over your docs, contracts, manuals or knowledge base.

I implement complete RAG pipelines: ingestion, document-aware chunking, embeddings, vector store, reranking and answers with citations. The goal is not to point a model at a PDF — it is to build a system that knows when to say "I don't know".

  • pgvector
  • Qdrant
  • Cohere Rerank
  • OpenAI
[svc.03] 03

LLM integration into existing apps

AI capabilities inside your product without rewriting it.

I add AI to applications already in production: summarization, classification, structured extraction, better search, generation. The integration is designed to be controllable, observable and reversible. I meet your stack where it lives — Node, Python, PHP, Go, whatever fits.

  • TypeScript
  • Python
  • Streaming
  • Structured outputs
[svc.04] 04

AI agent automation

Agents that run multi-step tasks with tools and human supervision.

I build agents that combine LLMs, tools and memory to automate real work: ticket triage, document processing, research, internal ops. With traceability, capped costs and human checkpoints where they matter.

  • LangGraph
  • Tool use
  • Workflows
  • Observability
[svc.05] 05

AI consulting & audits

Before building anything, deciding what is worth building.

Working sessions to map use cases, evaluate technical feasibility, estimate operating costs and pick a model. Audits of existing AI projects: prompt quality, cost, latency, evals, security and maintainability.

  • Roadmap
  • TCO
  • Evals
  • Security review
[svc.06] 06

MCP servers & tools

Wire your internal systems into Claude, ChatGPT or other clients via Model Context Protocol.

I design and build MCP servers that expose your APIs, databases and internal tools to AI assistants in a secure and traceable way. Useful for teams that want their internal processes accessible from Claude or ChatGPT without rewriting anything.

  • MCP
  • FastMCP
  • TypeScript
  • OAuth

Got a project in mind?

Book a free 30-minute call, or send me a message.