Run training.
And prove it, end to end.

Understand the differences between chatbots, AI assistants and AI agents, and put the right system to work in daily business.

The advanced follow-up to "Prompting for Professionals": chain-of-thought, tree-of-thoughts, multi-persona prompting and prompt chaining with real-world case studies.

How a language model turns tokens and probabilities into text, why it can hallucinate - and how the same technical foundation powers chatbot, assistant and agent alike.

The technical follow-up to "From Chatbot to Agent": ReAct, plan-and-execute, reflection, memory engineering and multi-agent orchestration with real-world case studies.

The follow-up to "Autonomous AI Agents": where an agent gets reliable facts. From the RAG pipeline through the limits of vector search to knowledge graphs and GraphRAG.

Where AI helps decide in recruiting and during employment, when a tool falls into the high-risk category, and what oversight and codetermination look like in practice.

Labelling duties under Art. 50, image tools such as Canva and Photoshop, rights in AI-generated content, and the line to misleading advertising.

Traceability and retention, creditworthiness assessment as a high-risk case, figures from language models, and protection against forged payment instructions.

What comes with the leadership role: deciding on tools, resourcing oversight, governing meeting recordings, and responding properly to incidents.

When customers must be told they are talking to a machine, why measuring emotions is banned for your own team, and who answers for a false promise.

Coding assistants in daily work, the shift from deployer to provider, prompt injection, and agents with access to live systems.

The AI question in every purchase, vendor checks with the right evidence, contract clauses, and the special case of supplier scoring.

Other people's data in other people's tools, deadlines in an auto-sorted inbox, minutes and recordings, and what side copies mean for deletion periods.

What applies EU-wide to environmental advertising from that date: generic claims such as "environmentally friendly", offsetting-based climate claims, sustainability labels, future commitments and old stock without a transition period.