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Tamas Piros

I make organisations capable with AI, team by team.

Structured, hands-on programmes: your engineers ship real AI systems, and your business teams build real workflows. Everyone builds; nobody sits through a slide deck.

I build with AI every day. 25+ years building and teaching technology. Google Developer Expert and Agentic AI Foundation ambassador. I've taught tens of thousands of developers and spoken at over 100 conferences worldwide.

Programmes

Two programmes, one method

Short weekly cycles: a live workshop applies each skill to your work, then a lab where each person builds it themselves. Every cycle ends with a working artifact, and the programme ends with a capstone your team presents and defends.

For engineering teams

The AI Engineering Programme

A 4–6 week programme that takes a cohort of working engineers from LLM fundamentals to a deployed, evaluated AI system: prompting as an engineering discipline, structured output, RAG, agents and tool calling, evaluation, and guardrails. It starts with a pilot day on one real problem; if the day doesn't convince you, stop there.

How the programme works →

For business teams & leaders

The Applied AI Programme

The same method for marketing, operations, finance, and HR: each person turns a task they actually do every week into a working AI-assisted workflow. For the leaders above both programmes, I advise on where AI fits, build versus buy, and vendor choices, one-off or on retainer.

Programmes & advisory →

About

How I got here

I've spent 25+ years across software engineering, developer relations, and technical training, working through EMEA and APAC. Most recently I led regional developer advocacy at a cloud media platform, running AI workshops and enablement programmes for engineering teams across the region. Before that I was a principal technical instructor, taught NoSQL databases to enterprise teams, and built a training business that reached tens of thousands of developers.

I'm a Google Developer Expert in Web Technologies and an Agentic AI Foundation ambassador, with an MBA and a BSc in Software Engineering. I've published technical books and video courses, guest-lectured at university, and have spoken at over 100 conferences.

I build with AI every day: LLMs, vector search, agentic systems, MCP servers, on-device inference. Everything I teach comes out of that daily work.

Writing

Selected writing

Selected pieces on agents, MCP, and building real AI systems. More in the full archive.

  1. The forward deployed engineer land grab

    Four companies committed roughly $9 billion in nine weeks to putting their own engineers inside customer organisations. What a forward deployed engineer actually costs, who really gets one, and the question to ask before you sign anything: what remains when they leave?

  2. What is agentic AI? A working definition for 2026

    A direct definition of agentic AI, what's actually shipping in production today, what isn't, and the five things worth building first. With specifics, citations, and an honest list of what doesn't work yet.

  3. Harness - A Local Managed Agent in Four Planes

    Anthropic decoupled their agent into brain, hands, and session. I built a local TypeScript version in roughly 2,400 lines to see what the architecture actually feels like when you type it out.

  4. MCP Servers - The Bridge Between LLMs and Real-World Tools

    Model Context Protocol (MCP) servers expose tools, resources, and prompts to LLMs in a unified, structured way. This post explores how they work, how to build one, and why they are a critical part of the future AI stack.

  5. Filesystem as Context: Building an AI Detective with bash-tool

    Instead of stuffing documents into prompts, give your AI agent a filesystem and let it retrieve its own context. Here's how, using a murder mystery detective as the demo.

Talks

Speaking

I've spoken at technology conferences worldwide on AI, agents, agent harnesses, MCP, web technologies, and developer education. Recent topics include building with LLMs, agentic systems, and how AI fits into engineering and creative practice.

138 engagements across 11 years

  • 2026
    8
  • 2025
    17
  • 2024
    14
  • 2023
    16
  • 2022
    14
  • 2021
    28
  • 2020
    21
  • 2019
    13
  • 2016
    2
  • 2015
    3
  • 2014
    2
  1. Workshop

    AI Crisis

    Coventry, UK

  2. Workshop

    Demystifying AI Agents: A Hands-On Workshop

    Frankfurt am Main, Germany

  3. Workshop

    Build a Production-Ready AI Agent in 90 Minutes

    Berlin, Germany

  4. Workshop

    Build a Production-Ready AI Agent in 90 Minutes

    Berlin, Germany

  5. Workshop

    Building Real AI Agents with Gemini

    Pristina, Kosovo

  6. Workshop

    The name is Agent. AI Agent.

    Rome, Italy

  7. Workshop

    The name is Agent. AI Agent.

    Skopje, North Macedonia

  8. Workshop

    The name is Agent. AI Agent.

    Warsaw, Poland

  9. Workshop

    Practical AI for Web Developers

    George Town, Malaysia

  10. Workshop

    The MCP Workshop: Turning APIs into AI-Ready Tools

    Taipei, Taiwan

Books

Two books, two audiences

I'm writing for the two groups I spend most of my time with: the engineers building AI, and the luxury houses deciding how to use it.

For engineers · Free, read online

AI Engineering for Web Developers

From aware-but-not-building to shipping a real AI agent. A hands-on path through LLMs, prompting, tools, agents, RAG, evals, and production, written for working web developers. No sign-up.

Start reading →

For luxury leaders · Final draft

Artisanal Intelligence

AI deployed with restraint and judgement, so it amplifies craft rather than erasing it. For luxury leaders and the technologists who serve them.

Read the thesis →

Contact

Get in touch about a programme, a talk, or an advisory engagement.