[svc.01] 01 (0.42, -0.18)
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 (-0.18, 0.61)
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 (0.74, -0.49)
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 (-0.55, 0.32)
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 (0.21, -0.74)
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 (-0.83, 0.14)
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