AI Basics
Core concepts behind generative AI and the language used to describe it.
Guides
Practical guides for everyday AI use
Each guide collects a topic's key ideas and links to the articles that go deeper. New to AI? Follow the beginner path below, then pick the guides that match your work.
Start here: a beginner learning path
Four steps that build a solid foundation before you apply AI to real tasks.
- Understand the basics. Read What Is Generative AI? to learn what these systems are and are not.
- Learn how assistants respond. Read How AI Assistants Work to understand prompts and why output varies.
- Pick a low-stakes task. Try the email drafting workflow on something routine you can easily check.
- Build verification habits. Study fact-checking and limitations and verification before relying on AI for anything important.
All topic guides
Ten areas of practice, each with an overview and supporting articles.
Writing Assistance
Drafting and editing emails, memos, and reports with AI as a partner.
Research & Analysis
Organizing sources and synthesizing material without losing traceability.
Productivity
Agendas, status updates, brainstorming, and everyday time savings.
Task Automation
What to automate, what to keep manual, and where humans stay in the loop.
Business Workflows
Practical applications for small teams, operations, and communication.
Document Workflows
Summarizing, comparing, and extracting information from long documents.
Responsible AI
Fact-checking, bias, accountability, and honest use of AI assistance.
Privacy & Security
Protecting confidential and personal data when using AI tools.
Limitations & Verification
Common failure modes and the review routine that catches them.