AI Glossary
Over 35 terms from the world of artificial intelligence — explained clearly, for beginners and experts.
All Basics Agentic AI Models Regulation Technical Business
Beginner Intermediate Advanced
A2A (Agent-to-Agent Protocol) advanced
A protocol developed by Google that enables AI agents to communicate and collaborate with each other. While MCP connects agents to tools, A2A connects agents to other agents — enab...
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AI Agent beginner
A software program powered by AI that can independently perform tasks on behalf of a user. An AI agent receives a goal, breaks it down into steps, executes them using available too...
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Agentic AI intermediate
AI systems that can act autonomously to achieve goals. Unlike chatbots that only respond to questions, AI agents can plan multi-step actions, use external tools, make decisions, an...
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MCP (Model Context Protocol) advanced
An open protocol developed by Anthropic that standardizes how AI models connect to external data sources and tools. MCP enables AI agents to access databases, APIs, and file system...
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Learning Paths
Beginner
Understanding AI
The basics: What is AI, what are LLMs, how do prompts work? From novice to informed conversation partner in 30 minutes.
Intermediate
AI in Practice
Agentic AI, RAG, fine-tuning — the technologies that turn AI from a toy into a business tool. For decision-makers who want more than ChatGPT.
Advanced
Regulation & Governance
EU AI Act, bias testing, explainability — everything you need for compliant AI. Deadline August 2026.
The Native AI Briefing
European AI news, curated and fact-checked. Every 2–3 days. Free.