How to create a short AI explainer video

Start an AI explainer video with one question your audience needs answered. Write the answer in plain language, divide it into visible steps, then prepare the images, clips and narration that make those steps understandable. Assemble and review the finished sequence before sharing it. Generating attractive footage is only one part of explaining something clearly.

Script ready? Storytelling turns it into an edited film with voice-over, subtitles and music.

Our example is a community equipment library that explains how borrowing works.

Choose one learning outcome

Finish this sentence before opening a generator: “After watching, the viewer should be able to…” For the equipment library, the answer is “describe how to request, collect and return an item.” That is narrower and more useful than explaining the entire organization.

List the information the viewer already has. A person arriving from a borrowing page probably knows what the library offers; they may not know whether requesting an item confirms availability. Spend the viewer's limited attention on that uncertainty rather than repeating a long introduction.

Keep secondary questions outside the video. Opening hours, detailed conditions and contact details can live in accompanying text where they are easier to maintain. Include them in the explanation only when they change the action being taught, and use verified current information rather than an AI-generated guess.

Establish the facts before drafting

Make a small source sheet with the process owner. Record the actual step order, important exceptions and the next action. For a software demonstration, use the current product interface; for a service, use the approved operating instructions. Do not let a plausible animation invent a feature.

In our example, the library has three rules: requests need confirmation, collection follows that confirmation, and the agreed return date is supplied with the booking. These rules shape the narration. The example deliberately specifies no opening hours or booking software.

Separate facts from visual choices. A warm background is a creative decision; an instant approval notification is a process claim. If you cannot verify the latter, do not show it as though it happens. This distinction prevents a polished video from teaching the wrong procedure.

Write a script that can be pictured

Use short sentences with one action each. Replace abstract language such as “our frictionless access ecosystem” with concrete actions: request an item, wait for confirmation, collect it, return it. Read the script aloud and remove words that do not help the viewer understand the sequence.

Here is a script for our library:

Need a tool for a small project? Check the equipment list and request the item you need. A request is not a confirmed booking: wait for the library to confirm availability and collection details. Collect your item as agreed, then bring it back on the return date provided with your booking. Check the borrowing instructions before sending your request.

Time the narration read aloud at a comfortable pace, then allow time for visual transitions and important text. If the sequence feels rushed, remove a secondary point instead of making every sentence faster.

Give each scene one explanation job

Copy this planning worksheet

Fill in these six fields before generating your visual assets:

Audience: who is learning this for the first time?

Question: what uncertainty should the video resolve?

Learning outcome: what should someone be able to explain or do?

Approved facts: which source confirms each step?

Likely misunderstanding: what incorrect conclusion must the video prevent?

Next action: where can the viewer find instructions or complete the task?

Resolve any missing process facts with the person responsible for the service. Do not ask a generator to fill those gaps with plausible details. The worksheet works equally well for an explanation built from still cards and one using animated clips.

Build a scene worksheet before generating assets. A scene should answer a question, show a step or clarify an exception. Decorative motion can support the tone, but it should not replace the information the viewer came to learn.

Scene	Viewer question	Planned visual	Accuracy check
Need	Why would I use this?	A simple project beside a tool	No performance or availability promise
Request	What do I do first?	A clearly illustrative request card	Do not invent a real booking interface
Confirmation	Is the item already reserved?	Separate request and confirmation cards	Distinguish the two states
Collection and return	What happens next?	Two simple labeled panels	Match the approved process

These cards can remain static. An explainer does not need every object to move. If exact labels or interface text matter, show them as subtitles rather than asking generated footage to reproduce them perfectly.

Prepare the visual assets in Deepnia

In the Video Studio, generate each animated scene with Gemini Omni, the default model: 4–10 s clips with sound included. For still illustrations, start from the Image Studio instead.

Use the text-to-video guide for detailed generation planning. Keep this explainer worksheet beside your assets so a visually appealing result does not distract you from the scene's actual teaching purpose.

Write a prompt for each scene

Example prompt for the opening scene:

Create a simple editorial illustration of a workbench with one hand tool beside an unfinished wooden planter. Neutral background, clear silhouette, uncluttered composition and space for a separate caption. No logo, readable text or people. Flat style, soft colors.

Keep the visual style consistent across scenes, and retain only assets that support the explanation without changing the facts. To describe the movement in each shot, follow the method for writing AI video prompts with clear motion. To get a finished film with voice-over, subtitles and music straight away, paste your script into Storytelling.

Coordinate narration and assembly

Once the core script is stable, generate the voice-over in Voice & Audio: Open TTS, the default model, also delivers a transcript and SRT captions. Use the voiceover guide to review phrasing and pronunciation. Listen especially to names, abbreviations and words that carry conditions, such as “after confirmation.”

For assembly, start from your script in Storytelling: review each scene's narration, then render the edited film with voice-over, subtitles and music. Keep on-screen labels, narration and scene order synchronized during the finishing step.

Add captions or a transcript suited to the delivery context, and check them manually. Music is optional: reduce or remove it when it competes with speech. Preview the finished file on the kind of screen your audience will actually use, not only in a large editing window.

Test understanding, not just appearance

Ask someone unfamiliar with the process to watch the video once. Then ask what they would do first and what they must wait for. If they believe a request instantly confirms the booking, fix the explanation even if the animation looks excellent. To apply this test to complete training materials, see AI for trainers: materials and narration.

Use a final check: one clear outcome, correct step order, no invented interface, readable labels, accurate captions and a relevant next action. Recheck the finished export after any change. A corrected script does not automatically update an older voice track or image.

Keep the source sheet and project assets so the explanation can be updated when the process changes. If your real goal is persuasion rather than instruction, use the separate product video ad guide.

Complete your scene worksheet, then open Storytelling to turn your script into an edited explainer video.