Move from casual prompting to intentional AI task design
A task-based beginner course that helps you turn a real need into an executable, checkable, and improvable AI usage plan.
Identify a real work or learning task that is suitable for AI practice, and describe its context, desired result, and current pain point.
A short real AI task description. You may type it directly or use voice input and submit the transcript.
Rewrite a vague request into an AI task instruction that includes background, goal, materials, constraints, format, and checking requirements.
The original vague request, the rewritten prompt, and the reason for each key addition.
Decide which context is useful for the task and turn the AI output into a copyable, checkable, reusable format.
A context checklist, a structured output template, and an explanation of necessary versus distracting information.
Judge whether an AI task must be answered from files or source materials, and define source scope, retrieval focus, and no-fabrication boundaries.
A source-dependency decision table covering whether sources are needed, the source list, retrieval focus, and no-fabrication boundaries.
Organize task-related materials into clear knowledge-base sections and design retrieval questions that help AI find evidence.
A personal knowledge-base section structure, the boundary of each section, and 5 retrieval questions.
Distinguish tasks AI can answer directly from tasks that need external tools, and set human confirmation points for tool actions.
A tool-calling checklist listing task steps, possible tools, what AI may do, and what a human must confirm.
Judge whether a task benefits from an Agent-style workflow and design its goal, steps, sources, tools, confirmation points, and final output.
A lightweight Agent flow sketch including goal, steps, sources or tools, confirmation points, and final output.
Write lightweight quality checks and boundary rules for your AI task so outputs can be checked and behavior can be controlled.
A lightweight AI quality checklist and a set of guardrail rules.
Integrate all previous exercises into an executable, checkable, and improvable AI usage plan.
A complete My AI Usage Plan and an optimization-order table.