Presented practical patterns for building MCPs at duvo.ai, including in-house development for faster iteration, file system-based output storage, and using Skills to describe generated file structures.

Attended the Anthropic builder summit in London, exploring Anthropic's roadmap for AI agents and MCPs, and connecting with the LLM community.

Built an AI agent at the E2B hackathon that automatically identifies owners of forgotten land plots by searching the web, indexing results, and cross-referencing databases. Won 2nd place.

This talk explored how LLM responses varied based on the query language, such as English vs. Czech. We analyzed the impact of language choice on model behavior and response costs.

I taught a group of 20 learners how to implement LLMs, covering agent programming, RAG systems, and embeddings.

At PyCon Estonia, I led a workshop on structured output and other new OpenAI features. I also gave a lightning talk on using Apple Silicon chips for LLM fine-tuning with MLX.