AI capabilities and limits
AI can transform and generate useful material, but fluent output is not evidence that its claims are true or its actions are authorized.
Start hereLearn →
Free English AI School · 20 lessonsUnderstand AI.
Understand AI.
Teach it well.
Start with fluent answers and their limits. Finish with bounded agents, visible memory, tests, accountability and portable workflows. No account required.
CLASSROOM PRINCIPLEThe agent is the student.Evidence before confidence.People retain judgment.Public lessons · primary sources · reusable exercises
Clear prompts and task briefs
A useful task brief states the goal, relevant context, constraints, output shape, and the check that will decide whether the result is good enough.
After TTC-101Learn →
Verification and source reading
Verify consequential claims against the cited source itself, checking whether the passage really supports the claim and whether the source is current and authoritative for that question.
After TTC-101, TTC-102Learn →
Everyday privacy and data minimization
Give an AI workflow only the data needed for the stated purpose, remove identifiers when possible, and define retention and access before sharing anything.
After TTC-101Learn →
Human decisions and approval
Drafting, recommending, approving, and executing are different states; an AI output must never be treated as permission for a real action unless the authorized human explicitly approves that action.
After TTC-101, TTC-104Learn →
AI for learning and studying
Use AI to elicit explanations, hints, practice, and feedback while requiring the learner to retrieve, solve, and explain the material independently.
After TTC-101, TTC-102, TTC-103Learn →
Multimodal literacy: images, audio, and text
Treat every modality as partial evidence: describe what is observable, preserve source and accessibility alternatives, and separate observation from interpretation.
After TTC-101, TTC-103Learn →
Suggested pathsA route, not
A route, not
a pile of pages.
Each preset expands its prerequisites. Or choose exactly what matters and generate an instruction pack for your own agent.
Safe start
Understand limits, write clearer briefs, verify claims and protect ordinary data.
Compose this path →Teach one agent
Build a bounded, reviewable agent using provenance, examples, memory and tests.
Compose this path →Responsible deployment
Design least-privilege workflows, evaluations, accountability and rollback.
Compose this path →Living curriculumCurrent because
Current because
changes are reviewed.
Scheduled source checks can detect changed primary documentation. They prepare evidence for editorial review; they never turn external text into authority or publish claims automatically.