An AI startup explainer should show the result a user gets, not how the model works. Use one concrete example, show the interface producing it, keep claims honest and measurable, and explain in a sentence what the tool cannot do.
AI products are hard to explain because the value is often invisible: a model does something behind the scenes. A good video makes it visible.
Start with a concrete example
Pick one task the viewer recognizes, such as turning a prompt into an image, or an agent completing a web task. Show the input, then the result.
Show the interface, not the architecture
Most viewers do not need a diagram of the model. They need to see what they click, what they get and how long it takes. My Browserbase explainer and Krater AI explainer take this approach for AI products.
Keep claims honest
- Avoid words such as "perfect" or "human-level" unless you can prove them
- Say what the product is good at, and what it is not for
- If scenes are illustrations of an output, label them
Make motion do the explaining
Use movement to show a process: data flowing in, a result coming out. Keep each scene to one idea. See UI animation for app promo videos.
Length
For a homepage, 45 to 75 seconds works. Cut a 20 to 30 second version for social.
Common mistakes to avoid
- Explaining the model instead of the result
- Showing outputs that the product cannot reliably produce
- Using the same generic futuristic visuals as everyone else
Frequently asked questions
How do I explain an AI agent in a video?
Show a task, the steps the agent takes and the result. Keep the screen simple and the narration short.
Can I use AI-generated scenes in my explainer?
Yes, if they are labeled where needed and do not misrepresent the product. Real screens should show the product itself.
How long should it be?
Usually 45 to 75 seconds for a homepage, with a 20 to 30 second version for social.
Can you make an AI product explainer?
Yes. See my SaaS explainer service.
