AI Foundations
Build a clear mental model of models, prompts, context, tools, evidence, and why polished output still needs review.
Start with the foundations, then move into safe use, interface signals, work, publishing and reality checking. The point is understanding, not hype.
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The guides are grouped so each lesson naturally leads to the next useful idea.
Build a clear mental model of models, prompts, context, tools, evidence, and why polished output still needs review.
Learn how to use AI without handing over too much data, skipping verification, or treating output as authority.
Understand persuasion, choice design, recommendation systems, and the signals Reality Lens helps you notice on real pages.
Use AI in work, education, publishing, and creator systems without weakening judgment, ownership, or source discipline.
Combine AI literacy, security, interface reading, and source discipline into a repeatable habit for checking digital claims.
Use one guide to inspect something real: an AI answer, a headline, a sales page, a tool result, or a screen that asks for trust.
Each guide contains substantive sections, practical uses, warning signs, questions to ask, and related topics.
A practical mental model for models, prompts, context, retrieval, tools, and why fluent output is not the same thing as verified truth.
Safety as informed use: privacy, accuracy, oversight, access, testing, and matching the amount of verification to the consequence of being wrong.
Psychology is part of good design. The important line is whether design supports an informed choice or deliberately obstructs it.
Learn the interface patterns that can steer decisions: hidden alternatives, asymmetric buttons, forced continuity, obstruction, disguised advertising, and artificial urgency.
Why confident language changes perceived risk, how authority effects work, and how to distinguish conversational style from evidence.
Understand what information an AI tool receives, what the service needs, and what questions to ask before sharing private or valuable data.
A balanced framework for classroom and school use: teacher support, accessibility, privacy, bias, training, accuracy, and student agency.
Where automation saves time, where oversight is essential, and how to prevent efficiency from quietly becoming dependency.
AI can strengthen detection and also improve phishing, impersonation, and social engineering. Verification habits have to evolve with the tools.
Recommendation systems shape what people see, what gets repeated, and what feels popular. Learn how ranking changes attention without assuming every recommendation is manipulation.
A practical evaluation framework for capability, privacy, accuracy, control, cost, integration, reversibility, and measurable value.
Use AI to accelerate creation while protecting ownership, audience relationships, source quality, and the economics of publishing.
Reality Lens connects interface concepts such as urgency, choice architecture, sponsored presentation, recurring billing language and visual asymmetry to what appears on real webpages.