How to brief an AI
Tasks, context, examples, constraints and output formats.
AI Prompting
Move beyond copying prompts. Learn to define a task, give useful context, test the output and spot when an AI answer needs checking.
Understand the subject
AI prompting means describing a task and giving an AI system enough context to produce a useful response. The work includes checking and improving that response. A confident paragraph is not the same thing as a correct one.
The learning outline
This outline describes the learning direction. The written syllabus for your batch confirms the software, teaching sequence and assessment.
Tasks, context, examples, constraints and output formats.
Compare results, diagnose failures and improve instructions.
Verify facts, recognise uncertainty and evaluate quality.
Research, idea development, editing and content workflows.
Privacy, copyright awareness and human review.
Try a teaching example
An original illustrated exercise. The event and work are fictional.
Write a short caption for the fictional Open Book Saturday reading event. Audience: teenagers and parents. Ask readers to contact the library team. Date and venue are not confirmed. Do not invent them, awards or attendance claims. Keep it under 60 words.
Bring a book and a curious mind. Open Book Saturday welcomes teenagers and parents. The date and venue are still to be confirmed. Ask the library team for details.
Review: the audience and next step are clear. Unknown details remain unknown. A real response still needs checking against the source brief.
Both answers were written for this exercise. This comparison does not call an AI service or predict what a particular model will return.
Your turn: list the facts you would need before this fictional event could be announced. Then check each sentence against that list.
Try an example brief
Write a brief, build a prompt sequence, compare outputs and document what you verified. Package it so someone else can repeat the process.
When you review it, ask: is the message clear, do the choices fit the audience, and are the files ready for their intended use?
This is a suggested fictional practice project, not a student result or a promised course outcome.
Internet access and a laptop for practical exercises. Confirm which AI tools are used and whether paid subscriptions are needed.
Use a small sample project to test your setup. For a paid application, include licence costs in your budget. Plan time to make work between sessions; watching a lesson and practising it are different jobs.
You can practise briefing, comparison and evaluation in a text-based AI tool without coding. API integrations and automated software workflows involve additional technical skills. Ask which level the current course covers.
A template can help you start, but the important decisions are what context to provide, what to ask for and how to judge the answer. Good prompts change with the task, the tool and the evidence available.
Separate factual claims from suggestions. Check important claims against reliable original sources, test calculations and inspect whether the response followed the brief. Do not use an AI-generated citation as proof until you have opened and checked its source.
Before you choose a batch
Request the current written course information, including the details below, before making an enrolment decision.
These official resources explain the subject and tools. Their inclusion does not imply a partnership or external accreditation.
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