# AI Fluency for Work Concept Library

A practical library of workplace AI concepts.

## Concepts

- [Adoption Friction](/concepts/adoption-friction.html): Why teams do not use AI even when tools exist.
- [AI Agents](/concepts/ai-agents.html): When AI can plan and act across steps.
- [AI Inventory](/concepts/ai-inventory.html): Know where AI is being used.
- [AI Literacy](/concepts/ai-literacy.html): Why people need basic AI understanding.
- [AI Ownership](/concepts/ai-ownership.html): Someone must be responsible for AI use.
- [AI Regulation](/concepts/ai-regulation.html): Why governments are creating rules for AI.
- [AI Risk](/concepts/ai-risk.html): What can go wrong when AI is used at work.
- [AI Value](/concepts/ai-value.html): How to tell if AI is helping.
- [Context Window](/concepts/context-window.html): How much the AI can keep in view.
- [Controls](/concepts/controls.html): Safeguards that reduce AI risk.
- [Data Exposure](/concepts/data-exposure.html): Why sensitive information needs boundaries.
- [Data Handling](/concepts/data-handling.html): Know what data the vendor receives or stores.
- [EU AI Act](/concepts/eu-ai-act.html): A simple view of Europe’s AI rulebook.
- [Hallucinations](/concepts/hallucinations.html): When AI sounds confident but gets it wrong.
- [Human Oversight](/concepts/human-oversight.html): Where people must stay involved.
- [Prompting](/concepts/prompting.html): How to ask AI for useful work.
- [RAG](/concepts/rag.html): AI with the right folder open.
- [Role Based AI Use](/concepts/role-based-ai-use.html): Why different teams need different AI habits.
- [Summarization](/concepts/summarization.html): How to turn long material into useful short material.
- [Team Playbooks](/concepts/team-playbooks.html): Simple repeatable ways teams use AI.
- [Tokens](/concepts/tokens.html): How AI breaks words into pieces.
- [Transformers](/concepts/transformers.html): How modern AI pays attention to context.
- [Use Case Selection](/concepts/use-case-selection.html): How to choose where AI is worth using.
- [Vendor AI Claims](/concepts/vendor-ai-claims.html): Do not accept AI feature claims at face value.
- [Vendor Risk Questions](/concepts/vendor-risk-questions.html): Questions to ask before enabling AI features.
- [Verification](/concepts/verification.html): How to check AI before you trust it.
- [Workflow Fit](/concepts/workflow-fit.html): Why AI must fit the real work process.
## Frequently asked questions

### What is in the AI concept library?

The AI Fluency for Work concept library contains short workplace explanations of AI terms such as prompting, hallucinations, verification, AI agents, RAG, data exposure, workflow fit, and vendor AI claims.

### Is the concept library free?

Yes. The public concept library is available without account registration. Paid access, if launched, will be clearly separated from the free learning pages.

### How should a learner use the concepts?

A learner should use each concept as a quick workplace reference: read the definition, check the example, answer the quiz, and save the decision rule for later use.