From curious to capable
Structured courses that take you from zero to building real things with AI. No fluff, no hype — just the knowledge that actually matters.
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How These Systems Actually Work
Build a mental model that predicts behavior instead of being surprised by it. Next-token prediction, non-determinism, context, and how to evaluate a capability claim.
Delegation: Deciding What to Hand Over
The prior question to every prompt: should this go to an AI at all? Cost asymmetry, verification burden, and the tasks that should stay yours.
Description: Context Over Phrasing
Almost every disappointing output traces to missing context, not clumsy wording. Specification, context assembly, and an evidence-graded look at which prompting techniques actually hold up.
Discernment: Verification and Calibrated Trust
Roughly a third of AI attempts fail. Learn to verify proportionately, spot the failure types that hide, and recognize automation bias in yourself.
Thinking With AI: Learning, Research, and Judgment
Explanation is the single largest thing people use AI for and almost no curriculum teaches it. Building durable understanding, running long sessions, research, document and data analysis, and decision support without outsourcing the decision.
Making With AI: Drafting, Producing, and Automating
Writing that keeps your voice and judgment, then automation done properly: deterministic versus agentic paths, and why one successful run is not a test.
Diligence: Data, Disclosure, and Your Operating System
Where your data goes, the ethics you'll actually face, the AI literacy obligations now landing on employers, and assembling everything into a system you can maintain.
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