Start with the problem
Be clear about who needs help and what repetitive work is getting in the way.
AI can help you explore, draft, automate, and troubleshoot. The goal is not to hand over your thinking. It is to spend more time building useful things.
Be clear about who needs help and what repetitive work is getting in the way.
Ask for options, a plan, a clearer explanation, or a draft you can improve.
Test it, verify facts, and make sure you understand the recommendation before using it.
Build the solution, document your choices, and own the final outcome.
Describe the repetitive steps in a club task, then use AI to help identify a trigger, decision points, and actions for Power Automate.
Use AI to turn an idea into a small Canvas App plan: the users, screens, data fields, and the first useful version.
Ask for an explanation of an AWS error, a code review checklist, or a clearer way to document what your project does.
Turn rough notes into a project description, resume bullet, or presentation outline, then edit it until it sounds like you.
Never paste passwords, API keys, student records, private club details, or anything you would not want shared. Check facts before you repeat them, and follow your instructor’s rules for academic work.
I have this manual process: [steps]. Help me map it into a Power Automate flow with a trigger, actions, and approval points.
I want to build a simple Canvas App for [people] to do [task]. What is the smallest useful version, and which screens and fields does it need?
Explain this cloud error in plain English, then give me three safe steps to troubleshoot it: [error message].
Bring the process to a club meeting or share it with the group. A useful automation or app often starts with one annoying task people keep repeating.