I help companies put AI to work — from strategy to local agents running on your own hardware.

Consulting, team training and talks. In English or Czech, on site or remote. Practical, no fluff.

Get in touch
Based in · Prague, working remotely
Services

How I can help

02 — Services
Consulting

Bring AI into your company

Strategy, prototypes, RAG systems over your own data, local models.

  • Free 30-minute intro call
  • A proposed scope and plan
  • Delivery, then handover to your team
How we work
Talks

I'll speak at your event

Conferences, company events, panels. From spec-driven development to local agents on a DGX Spark.

  • 30 / 45 / 60-minute keynotes
  • Panels and moderation
  • In English or Czech
Topics and dates
Team training

Teach your team to work with AI

Hands-on training built around your team, from the basics to spec-driven development and local agents.

  • Half-day or full-day
  • Built around your stack
  • On site or online
Plan a training

What I've built with AI — from agents that run unsupervised for months to an app finished in an hour.

Projects
PhD, Czech Technical University in Prague20 years in IT, since 20067 years training developersAI for cancer research · M2M Bio (UK)Speaker at TechEd 2010 & 2026DGX Spark
Jan Tamáš
Who writes and teaches

Jan Tamáš.

PhD in technical cybernetics from the Czech Technical University in Prague. Twenty years in IT: seven years training developers in C# and .NET at Gopas, a Czech IT training company; projects at PwC; and several years leading the AI team of M2M Bio, a UK company building cloud infrastructure for cancer research.

Since last year I've worked on AI full-time. I teach because I love watching people do something they thought they couldn't.

From the blog

Notes from practice

All posts
13 October 2026 AI

A council of six AI advisors

Each of my six AI advisors sees only its own field, yet almost every important question involves several of them. So I gave them a shared council: first as a conversation format, then as a morning meeting that plans four hours of my day.
9 October 2026 AI

Six AI advisors and the memory they share

In one day I set up five AI advisors in Claude Code, and a sixth a few days later. The hard part was not writing their roles but working out what they should remember, who may read it and how much it may cost.
6 October 2026 AI

My OpenClaw setup

One config file, a gateway running around the clock on a DGX Spark, local models and Claude. I go through my OpenClaw configuration piece by piece (models, agents, sandbox, channels, skills) and four things I only learned about it once it was running.