AI can be useful when you need several possible approaches to a task. It might suggest ways to explain a service, structure a presentation or encourage more people to attend an event.

The first list of ideas is rarely the finished work. Your knowledge of the audience, budget and workplace helps you decide which suggestions are practical. In this lesson, you will use AI to explore options and turn one into a usable plan.

Give AI a brief

Suppose a small business wants more customers to attend a free lunchtime demonstration. “Give me marketing ideas” may produce suggestions that are too broad or expensive.

A better request includes the limits:

Suggest five ways to encourage existing customers to attend a free 30 minute lunchtime demonstration. We have no advertising budget and can use email, our website and in-store notices. Give each idea a short explanation.

Now the ideas have a purpose, audience and set of available channels. If AI suggests a paid campaign, you can discard it because it does not fit the brief.

Ask for different approaches

AI often produces several versions of the same familiar idea. You can push for variety:

Give me three different approaches: one based on convenience, one on a practical benefit and one on curiosity. Avoid repeating the same message in different words.

This can help you see the choices more clearly. You may decide that customers need a practical reason to attend, or that the timing matters more than the wording.

More ideas are not automatically better. Stop when you have enough distinct options to compare.

Test ideas against reality

Review each suggestion with questions AI may not be able to answer:

• Would our customers care about this?
• Can we deliver what the idea promises?
• Does it fit our time and budget?
• Could the wording mislead anyone?
• Has something similar worked or failed before?

Tell AI about a constraint it missed and ask it to revise only the promising ideas. For example:

We cannot offer a discount. Revise ideas two and four so they focus on what attendees will learn.

Your experience is particularly important here. AI does not know your customers simply because its suggestions sound persuasive.

Develop one idea

Once you choose an approach, use AI to help make it concrete:

Develop the practical benefit idea into a short email invitation. Include the date, time and a clear reason to attend. Leave a placeholder for the booking link.

Check that the email reflects the event accurately. If the demonstration does not cover a particular topic, remove any claim that it does. You can then adjust the language to match the business’s usual voice.

Use AI to challenge the idea

Before committing, ask what could be missing:

What might prevent a customer from attending this event, and what could we clarify in the invitation?

The answer may point to timing, location or whether the demonstration is genuinely free. Decide which concerns apply, then improve the invitation or event plan.

This is a productive use of AI: it helps you examine an idea from another angle without treating its suggestions as market research.

Handle visual ideas separately

If the project needs an image, write a visual brief after you know the message. Describe what the image should communicate, where it will appear and how much room any text needs.

You can then use an image or design tool if it suits the task. Inspect the finished graphic at its intended size and check that it matches the event. An attractive visual cannot rescue an unclear offer.

Try it yourself

Choose a fictional workplace challenge, such as encouraging colleagues to use a new shared folder or inviting customers to a short event. Give AI an audience, a goal and two constraints.

Ask for three distinct approaches. Choose one and explain, in your own words, why it would work. Then ask AI to turn it into a short message and edit the final version yourself.

Key takeaway

AI can help you generate options and develop an idea, especially when you give it a clear brief. The useful work is selecting, testing and improving those options against what you know about the audience and the task.

In the final lesson, we will use a similar approach to compare workplace options and support a decision.