Learn AI at your own level

Four practical AI learning paths, from your first conversation to creative projects and tested agent workflows.

Four learning paths meet you where you are. Choose a sequence or follow a topic. Progress can be marked complete and saved in this browser.

Choose your path

• I’m new to this: Get from a blank chat box to a result you can use and check.
• I use AI already: Build a repeatable routine for writing, research, or everyday work.
• I want to make things: Direct an image or creative project with a clear purpose and a repeatable review process.
• I’m ready to go deeper: Delegate a bounded project and evaluate whether the full workflow helps.

Learn a useful skill

• AI beyond search: your first useful conversation: Move from asking for an answer to working through a task, with a complete first conversation and a small exercise.
• How to get better answers with follow-up questions: Learn five ways to repair an AI answer: clarify, constrain, compare, demonstrate, and check.
• How to fact-check an AI answer without checking everything: Find the claims that matter, follow them to evidence, and separate what is supported from what is merely plausible.
• Use examples to get AI output that actually fits: Teach a format, style, or classification with examples, including how to avoid copying their accidental details.
• What to give AI: build a useful context pack: Make a reusable project brief with facts, examples, constraints, and a clear record of what changed.
• Write with AI without losing your own voice: Use a small writing sample, an editing brief, and a meaning check to improve a draft without flattening it.
• Research with your own sources: from a pile of files to an evidence table: Organize documents around a question, compare disagreements, and build a source-linked answer you can check.
• How to write an AI image prompt with a clear visual idea: Turn a vague image request into a brief with a subject, composition, lighting, and an intended use.
• Edit AI images without losing the parts you like: Use a change list, preserve list, and simple review sheet to direct image revisions.
• Use AI for creative directions, then make a real choice: Explore genuinely different ideas for a campaign, story, or design using constraints and explicit tradeoffs.
• Chat, workflow, or agent: choose how much work to delegate: Understand the difference between a conversation, a repeatable sequence, and an agent that can choose actions.
• Give an AI agent a clear brief and sensible permissions: Translate a broad goal into permitted actions, review points, and evidence of completion.
• Test an AI workflow before you depend on it: Build a small test set, define useful success criteria, and measure the corrections as well as the output.
• Keep a long AI project on track with a useful handoff: Create a compact record of decisions, artifacts, unresolved questions, and the next action so a project can resume cleanly.
• Compare AI tools on your own work: Use the same task, inputs, and criteria to decide which tool is useful for you, without chasing a universal winner.
• Learn with AI while keeping the thinking yours: Turn explanations into practice with hints, questions, teach-back, and a final attempt without help.

Try the idea

• The prompt lab: Switch a weak request into a useful brief. See exactly what each detail changes.
• Source detective: A claim. A source. Your judgment. Spot the leap the answer is making.
• The image brief studio: Choose the composition, light, and use. Leave with a brief you can actually direct.
• Is this workflow worth it?: Include setup and review time. Explore when the work really pays back.

Related Power of AI pages

Keep reading with Start here, everyday uses, the tool guide, the writing workshop, and sources and standards.