Design an AI agent workflow with clear inputs, permissions, checks, test cases and human ownership.
Explain an AI agent as a repeatable system with a goal, instructions, context, tools and checks.
An AI agent is a designed workflow, not a prompt with a new label. It can take input, follow instructions, use context or tools, produce an output and check whether the result is good enough.
A support triage agent can read a ticket, classify urgency, search approved policy notes, draft a reply and send risky cases to a person instead of answering directly.
Choose one bounded task and name the user, goal, approved inputs or tools and the output a person will review.
This agent helps [user] achieve [goal] by using [inputs or tools] and producing [output]. A person must review [risk or decision].
No. The first lesson produces a task-fit statement and boundary map before any framework is chosen.
No. It asks you to use the least autonomy the task needs and place human approval before consequential actions.
Yes. Use a fictional process or public source material and keep private operational details out of the exercise.
