CloudWise Academy
blog · September 30, 2026 · 9 min read

After the AI Demo, Can You Do It Yourself?

A good AI workshop should leave you able to finish and check a real task. See a practical agenda, a worked exercise and clear ways to judge progress.

Leave with something you can do again.

An impressive demonstration opens the door. A useful training session gives you a manageable task, help when you need it, and a way to check your own work.

By Joe McKenna. Adapted from his September 29, 2026 workshop.

The useful idea

Judge the session by what a learner can produce, explain and repeat with a new source.

The important part starts when you take over

I like showing people what is possible. It gives you something to aim at. But watching my screen and using the tool yourself are different experiences. When you take over, you discover the question you did not know to ask: Where did my source go? Why did it add that step? What should I check?

In the workshop, I explain my approach as giving people a direction, then helping them through the obstacles they encounter. Near the end, I ask participants to create a notebook, add some information and use it in a new conversation. The point of that exercise is to find out whether they can repeat the process themselves. The recording does not establish that every participant succeeded.

If you are planning AI training for a school, college or staff team, start there. Decide what someone should be able to do after the demonstration ends.

Try the process yourself, then ask for help

What to notice: Joe asks learners to create a notebook, add something, and use it from a new chat. The check is whether they can perform the process; the recording does not prove every learner succeeded.

1:04. From The One-Person AI Business, 1:01:10.11–1:02:13.96.

Visual context: Joe gives learners an independent practice task while the shared browser remains visible. The instructions are spoken.

Read the clip transcript

you go back to Gemini, your tab with Gemini, and can you go to new notebook and then add your own source or have a conversation to put details in, but get some information in a notebook and then can you call it in a chat? Can you go out, click new chat and call that notebook a chat? Can we see if everyone can do that? And the key here is don't ask me unless you try. Let's just see if you can get through it. But if you're stuck, ask me. Then you're gonna go create a, you're gonna go back to Gemini, you're gonna create a new notebook, you're gonna put something in it, text, document, PowerPoint, and then you're gonna go out to a new chat and you're gonna add that notebook. So the practice here is just adding the notebook, not filling the notebook with anything meaningful that we just-- Whatever you can. Yep, you can give it a link, you can text to it, you can upload something. The idea is can you do it and can you add it and ask it questions in the chat?

Automatically transcribed from this excerpt and aligned locally. Transcript accuracy and word synchronization still require a human listening review.

Download the transcript · Download captions

Choose an outcome you can actually see

Understanding AI is a large ambition for one session. Turning a short, approved procedure into a checked preparation list is a task you can observe. It gives the learner something useful and gives the instructor something specific to respond to.

For a first workshop, I would use these proposed outcomes:

  • Identify which source and version the task uses.
  • Produce a short draft for a named reader.
  • Find an unsupported addition or confirm that a required detail was preserved.
  • Correct the draft and explain the reason for the correction.
  • Repeat the process with a different short source, using a reference guide.

This follows a straightforward planning principle: the activity and assessment should match the intended learning. Carnegie Mellon’s Eberly Center explains that relationship. The agenda and exercise below are proposed applications, not measured results from my workshop.

Give everyone a result they can check

Ask learners to create a preparation checklist for a first-time volunteer. They can paste this short source into the approved tool rather than spend the exercise searching for a document.

Using only the practice source above, draft a preparation checklist for a first-time volunteer. Keep required actions separate from details that need confirmation. Do not invent times, contacts or procedures. After the checklist, identify the source sentence supporting each required action.

Suppose a draft tells volunteers to arrive at 9 a.m., put the attendance sheet on the desk and ask visitors to describe their access needs. That is an authored example of a faulty response, not a recorded tool result. It gives the group three concrete things to inspect.

The source specifies door-opening time, not volunteer arrival time. The coordinator keeps the attendance sheet. Questions about access arrangements go to the coordinator; the brief does not instruct volunteers to collect personal details.

Now ask the learner to explain one correction. That explanation tells you more about their review process than a polished checklist alone.

Leave room for practice and a second attempt

Here is a proposed 60-minute agenda for a small introductory session. It is a planning example, not a description of a booked CloudWise service or a promise that every group needs the same time.

  1. First 5 minutes: show the finished checklist and define the task.
  2. Next 10 minutes: demonstrate one source-to-draft attempt, including a visible source check.
  3. Next 15 minutes: let participants make their own checklist and record a question or correction.
  4. Next 10 minutes: compare a few decisions and work through access or interpretation problems.
  5. Next 15 minutes: repeat with a second short source and less instructor direction.
  6. Last 5 minutes: save the work, the reference guide and one next practice task.

Prepare tool access before the session where possible. Have a plain-text source and an example response available if generation fails. Reviewing a supplied response still practices judgment; record that the learner has not yet demonstrated independent tool use.

Check the work and the reasoning separately

Use three simple notes for each outcome: demonstrated independently, demonstrated with support, or not yet demonstrated. A learner may make a correct checklist with help and still need another attempt before they can repeat the task alone.

Keep the evidence modest: the source, the checked draft, one correction with its reason, and the second attempt. A quick explanation such as “I removed 9 a.m. because the source gives only the door-opening time” shows what the learner noticed. If no error appeared, ask them to point to the support for one important detail.

A satisfaction survey answers whether people liked the session. It does not answer whether they can complete this task. If you want to know what carried over, invite a later example using another permitted source. Do not claim that transfer happened before you have evidence.

Plan one useful task before planning the slides

Write one sentence: “By the end, participants will be able to…” Finish it with an action and an observable result. Then choose a short source, a checked example and a second practice task that match.

Your take-home guide can fit on one page: the goal, the practice source, a starter request, the review questions and where to ask for help. For the conversation that starts the exercise, use Start With a Better Conversation. For the wider sequence, follow the complete workflow.

Questions that come up

Does everyone need to use the same AI tool?

One approved tool makes a first session easier to demonstrate and support. Check participant access in advance, and provide a text-based practice option. The source checks can transfer across tools, but the controls and available features may differ.

What if a participant cannot finish without help?

Record the step that needed support, work through it and give them another attempt. Needing help identifies the next teaching task; it does not tell you that the person cannot learn the workflow.

Is this a published CloudWise workshop package?

No. The agenda and evaluation examples are planning suggestions. Use the linked course page for current course information; confirm a separate training engagement’s scope and arrangements directly.

15 Days of AI

Put this into practice with Joe.

Give AI useful context. Work with your own materials. Create something you can use. Explore the independent classes and choose the ones that fit your goals.

Explore the classes

About this lesson

Adapted in first person from Joe McKenna’s workshop explanations using the automatic timestamped transcript. No direct quotation or audio-verified claim is made. The fictional event source, response, checklist, 60-minute agenda, outcome criteria and evaluation suggestions were authored for this article. Independent practice is requested in the recording; universal participant success or a school implementation is not established.

Source passages: 03:35–04:04; 10:24–10:54; 13:17–13:31; 30:15–30:38; 1:01:02–1:02:16. Source: The One-Person AI Business, September 29, 2026.

Official guidance checked September 30, 2026. Product features can change.

AI-assisted organization and supplementary examples. Prepared from Joe McKenna’s workshop.

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