MOVE BEYOND THE MAGIC
Understand AI.
Use it with intention.
Build better prompts. Inspect evidence. Test your assumptions. An interactive path from first principles to useful AI workflows.
CHANGE AN INPUT / INSPECT THE RESULT
Your AI experiment bench.
Transparent, local teaching tools. No model calls, API keys or live AI responses. Lab settings are temporary; download outputs you want to keep.
TURN IDEAS INTO TESTABLE WORK
Build an assistant you can explain.
Download a project brief, record your decisions and collect real evidence. These are planning workspaces, not deployed assistants.
RETURN / RECALL / REVISE
Keep what you understand.
Recall practice
Your learning record
Completion requires a correct scenario answer, an artifact of at least 80 characters and a reflection of at least 40 characters. Editing an answer or written work reopens the lesson.
Review timing follows your own rating, not a measured estimate of mastery.
Explore primary sources
NIST AI Risk Management Framework ↗NIST Generative AI Profile ↗Anthropic: Building effective agents ↗Anthropic: Evaluating agents ↗Google Machine Learning Crash Course ↗DiscoveryVIP JavaScript Studio ↗This independent course covers practical AI literacy and selected technical concepts. It is not a full machine-learning engineering degree, a provider certification, or a guarantee of production readiness. Product capabilities, prices and policies change; verify them with the provider you choose.
Use fictional data. Your drafts and progress live in this browser, and exports contain your written work. The page includes the website’s Google analytics tag; it does not attach your practice text to custom analytics events.