Breakdown

What AI can do for you right now, what you must know before you trust it, and the full landscape of AI output types. No tech background needed.

All-purpose chat, writing, search, and knowledge management. Use in a browser — zero setup. The biggest audience and the best starting point.

AI embedded inside tools you already use — Office 365, Google Workspace, Zoom, Jira. No new apps required for most of this.

Generate images, video, music, voice, and 3D assets. No code — just prompts and creative intent. Models and apps unified into one category.

Domain-specific AI built for specific professions. Pick your vertical and skip all others. One tool per industry is sufficient.

Turn ideas into deployed apps, chatbots, and document assistants without writing a single line of code.

Connect your apps, automate repetitive tasks, and bring AI into your daily tools — without touching a terminal.

Raw model access, fast inference, and running open-source models locally. The entry point for every developer building AI-powered software.

AI coding assistants, app scaffolding, prompt management, MLOps, and fine-tuning. The tools developers use to build, ship, and iterate on AI products.

Build AI agents that plan, remember, use tools, and work in teams. The fastest-growing developer category in 2025–2026.

Making AI safe, understandable, and legally compliant. Critical for leaders and teams deploying AI at scale. Technical safety research for researchers.

Academic and research disciplines powering everything above. For researchers, data scientists, and the deeply curious. Clearly optional.

Bleeding-edge research and new categories. Some is production-ready now, some is 2-5 years away. For strategy, research, and curious builders.

Optional depth for the curious. How LLMs actually generate text, how reasoning models differ from standard ones, what AI regulation means for builders, and how to evaluate AI systems critically. Skip this until you want to go deeper.