AI learning hub
The Mindber learning hub explains AI for people who choose and use AI tools: ten topic guides, a glossary of AI terms and free cost calculators. Every page cites primary sources and shows when it was last updated.
Topics
AI fundamentals
Plain-language guide to how generative AI works: large language models, tokens, context windows, embeddings, RAG, fine-tuning and hallucinations.
AI agents
Learn what AI agents are, how agentic AI plans and uses tools, how MCP connects models to apps, and how to build an agent with no-code tools or code.
Prompt engineering
Prompt engineering guide: how to structure prompts, use system prompts, few-shot examples and chain-of-thought, set temperature and test your results.
AI tutorials
Step-by-step AI tutorials for work: how to use ChatGPT and other assistants, write better requests, work with files, protect privacy and check output.
Choosing AI tools
How to choose AI tools: a buyer checklist plus best-of guides for image, video, writing and detection tools, built on public sources and directory…
AI comparisons
Neutral AI tool comparisons: Claude vs ChatGPT, Gemini vs ChatGPT, Copilot and more, compared on features, pricing models, privacy and fit by use…
AI pricing
How AI pricing works: token-based API billing, input vs output tokens, subscription plans, seat licences and usage limits, with tips to estimate a…
AI by role
Guides to AI tools by role and industry: AI for business teams, teachers, students, HR and designers, with use cases, risks and what to check first.
AI governance
AI governance explained: risk frameworks such as the NIST AI RMF, acceptable use policies, shadow AI, regulation and how to evaluate governance tools.
AI market data
AI market data and statistics from a structured directory of AI software: categories, pricing models, launches, shutdowns and activity, with methods.
Glossary
Plain-language definitions of AI terms, A to Z.
Free tools
Calculators for LLM costs and AI subscription stacks. You enter the prices.
Latest guides
Prompt Engineering: A Complete Guide With Examples
Prompt engineering explained: what goes into a prompt, core techniques with before-and-after examples, how to test prompts, and templates you can reuse.
What Is an MCP Server? The Model Context Protocol Explained
An MCP server gives AI apps tools, data and prompts through the Model Context Protocol. How it works: hosts and clients, primitives, transports and security.
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