AI
Understanding and using artificial intelligence: agentic commerce, AI at work and in everyday life, models & tools – concrete instead of buzzwords.
AI generatedFrom first prompt to your own agent.
10 learning paths in three levels, with short lessons, self-tests and exercises. Study at your own pace, free of charge.
Open the academyWhen AI agents do the shopping: LLM visibility, agent-ready stores and AI content in commerce.
Understanding Agentic Commerce: The Fundamentals Guide
Agentic commerce for merchants: how to understand UCP and ACP, product data, purchase journeys, permissions and commercial viability.
Agent-Ready Commerce: What Your Store Needs to Get Right
Shopify supports AI-assisted checkout. How to check product data, variants, delivery promises and purchase flows, with regional limits.
AI Product Copy at Scale: Why Quality Is a Data Problem
Creating AI product descriptions without ending up with duplicate content: why scaled copy is a data problem – the four-step workflow that fixes it.
Agents, adoption and working practice: how AI turns from pilot project into a productive tool.
Adopting AI at work: From a pilot to a service you can run
Measure an AI pilot against the time it takes to produce a usable result. Compare platforms, calculate the cost per case and put AI literacy into practice.
ChatGPT Work for teams. From a brief to a checked deliverable
What ChatGPT Work can do with files and apps, how local and cloud access fit together and how to measure the effort and quality of a real assignment.
AI Agents at Work: From Chatbot to Colleague
AI agents complete tasks rather than just answering questions: researching, booking, coding. Where agents work well today – and how to get started properly.
Assistants, learning, everyday help: what AI already does for everyone – no expertise required.
AI Assistants in Everyday Life: What Actually Works Today
Beyond the demo videos: where AI assistants reliably help in daily life, where they fail – and how to use them without trusting them blindly.
When AI shops for you, who actually places the order?
European trials show agents can make real purchases. Learn to recognise a retailer checkout, confirm the total and find the seller if something goes wrong.
Learning with AI: The Personal Tutor for Everyone
Learning with AI: the four most effective usage patterns, a seven-step learning routine, active versus passive compared – and the most common mistakes.
Cloud or local, open or proprietary: the technical decisions behind using AI.
Claude Fable 5 and Kimi K3 compared. What still matters?
Fable 5 remains active as a legacy model and Kimi K3 weights are available. Compare access, context and API costs alongside Fable 5.1 and K3.1 Pro.
LM Studio Bionic. How local is your agent?
Bionic can edit files and run models on your computer, on a second device or in the cloud. What changed in 1.1.10 and how to test your own setup.
Local AI vs. Cloud: When Your Own Models Pay Off
Local AI vs. cloud compared: data sovereignty, costs under sustained load, a worked payback example, and the routing pattern that combines both worlds.