AI Explorers · lesson 24 of 24 · 25 min
Great ideas go nowhere if nobody hears them. Today you’ll package your AI helper into a short, clear pitch you can share with your family, class or community.
What is a pitch?
A pitch is a short presentation that explains your idea and why it matters. Your pitch should be about 2 to 3 minutes. It can be spoken, a poster, a few slides, or a short video you record with permission.
The best pitches are honest. Showing your test results, including what doesn’t work yet, makes people trust you more.
Your pitch outline
Use these six parts, one for each step of your capstone:
| Part | What to say | Time |
|---|---|---|
| 1. Problem | Who has the problem and why it matters. Use what the person you talked to said. | 30 sec |
| 2. Data | What examples your helper learned from and how you made them varied. | 20 sec |
| 3. Model | Show or describe your prototype working. | 30 sec |
| 4. Test results | Your accuracy before and after improving, and the biggest weak spot. | 20 sec |
| 5. Fairness and safety | Who you tested it with, any gaps, your harm check and backup plan. | 30 sec |
| 6. Next steps | What you’d improve with more time and what help you need. | 20 sec |
Tips for a strong pitch
- Start with a story: “My grandmother can’t hear the doorbell from the kitchen…” pulls people in faster than “My project is an audio classifier.”
- Use plain words: explain terms like “training data” if your audience is new to AI. You know these words now. Teach them.
- Show, don’t just tell: a live demo or a screenshot of your Preview panel is powerful.
- Own your limits: “It works well in quiet rooms but struggles with background music” is a strong, honest sentence.
- Practice out loud at least twice and time yourself.
Feedback makes it better
After you pitch, ask your audience three questions:
- What part was clearest?
- What was confusing?
- Would you use this? Why or why not?
Write down their answers in your project journal. Feedback is data too, and you know what to do with data: learn from it and improve.
Look how far you’ve come
In this course you learned how AI senses the world, represents information and reasons, learns from data, talks with people, and affects society. You trained real models, ran experiments, checked for fairness, and designed a helper for your community. That is real AI work.
Try it
- Fill in the six-part pitch outline in your project journal.
- Make one visual: a poster, three slides, or a screenshot of your model working.
- Practice your pitch out loud and time it. Trim it to 3 minutes or less.
- Present it to at least one person or group: family, friends, a class or a youth group.
- Ask the three feedback questions, write down the answers, and list one change you’d make.
Check yourself
Why should your pitch include what doesn’t work yet?
Honesty about limits builds trust and shows you tested your helper carefully.
What is a good way to start a pitch?
With a short, real story about the person who has the problem.
Why is feedback “data too”?
It gives you real information about what works and what doesn’t, which you can use to improve, just like training data.
Key words
- Pitch: a short presentation of an idea.
- Demo: showing your project working.
- Feedback: responses from others that help you improve.
- Next steps: what you plan to do to make the project better.
Previous lesson: Capstone part 2: build, test and fairness-check
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