Input: screen recording, feature note, and one buyer problem
Output: one 30-60 second demo built from 4-8 second shots
Aspect: 16:9 for docs and sales; 1:1 for embeds
Build log
1. Choose one workflow
I picked one job-to-be-done, not every feature. The first draft covered five actions and lost the reason to buy, so I cut it to signup to first saved result.
2. Build a four-node Canvas storyboard
I made four nodes: problem, real interface click, visible result, and one CTA. This keeps the demo under 60 seconds without inventing UI.
3. Generate only missing motion
I used the screen recording for interface truth and added short camera or context motion. When a generated panel invented buttons, I replaced it with a cropped recording frame.
4. Check the numbers before rendering
Veo 3.1 snaps a 5-second request to 6 seconds and charges 125 credits, so I enter 4/6/8 seconds directly. Seedance 2.5 bills per second: 18 credits/s at 480p and 39 credits/s at 720p.
5. Export and inspect
I check cursor visibility, UI readability, and one CTA at full size, then export 16:9 first and crop 1:1 only after the demo is approved.
Complete execution record
Task boundary and source gate
Treat AI product demo video generator as a deliverable, not a definition. The job receives screen recording, feature note, and one buyer problem and owes one 30-60 second demo built from 4-8 second shots in 16:9 for docs and sales; 1:1 for embeds. Write the rejection reason first, then turn it into the first hard constraint.
Require one buyer task, clean demo data, permission to show the interface, the result metric, and a privacy review. Mask customer names before anything is generated. Do not invent integrations, uptime, savings, or customer data. The demo should prove only what the current build can do.
The imgmov route
Use the real screen recording as the anchor. Canvas places problem, click, result, and CTA; generation only fills connective motion. Interface text, cursor state, and result field stay true to the recording.
Keep platform requirements outside the model prompt. The prompt can describe a scene; a named checklist records the crop, claim, consent, and console check that make it deliverable.
Lock the variables that cannot drift
Lock UI text, button labels, workspace name, cursor path, error state, result value, logo position, and claim wording. A demo that shows the wrong field is worse than no demo.
Put the locked fields at the top of the prompt, not at the end: Lock the real screen recording, say one buyer problem, and show one path to the result. Use Canvas to place problem, click, result, and CTA; generate only the connective motion. A 5-second Agnes Video clip costs 10 credits, Seedance 2.5 costs 90 credits at 480p or 195 credits at 720p, and Veo 3.1 costs 80/125/165 credits at 4/6/8 seconds. Save that prompt with the reference, ratio, and model so the next run starts from a decision instead of a guess.
Step-by-step build path
1) Choose one workflow: I picked one job-to-be-done, not every feature. The first draft covered five actions and lost the reason to buy, so I cut it to signup to first saved result. Leave one checkable artifact from this step; do not start the next until it exists. 2) Build a four-node Canvas storyboard: I made four nodes: problem, real interface click, visible result, and one CTA. This keeps the demo under 60 seconds without inventing UI. Leave one checkable artifact from this step; do not start the next until it exists. 3) Generate only missing motion: I used the screen recording for interface truth and added short camera or context motion. When a generated panel invented buttons, I replaced it with a cropped recording frame. Leave one checkable artifact from this step; do not start the next until it exists. 4) Check the numbers before rendering: Veo 3.1 snaps a 5-second request to 6 seconds and charges 125 credits, so I enter 4/6/8 seconds directly. Seedance 2.5 bills per second: 18 credits/s at 480p and 39 credits/s at 720p. Leave one checkable artifact from this step; do not start the next until it exists. 5) Export and inspect: I check cursor visibility, UI readability, and one CTA at full size, then export 16:9 first and crop 1:1 only after the demo is approved. Leave one checkable artifact from this step; do not start the next until it exists.
Change one named variable per rerun: prompt, reference, camera, duration, model, ratio, or export crop. If two variables change together, a better output cannot be reused because nobody knows which fix worked.
Review gates and evidence
At full size, a buyer should read the button, follow one path, and see the source of the result without marketing language covering the proof.
Keep source, approved wording, rejected version, correction, credit cost, and final crop next to the asset. The record exists so the next reviewer can reproduce the decision without a chat thread.
Failure diagnosis and retry ladder
If UI warps, keep the real frame and animate around it. If the path branches, split the demo. If the metric is unclear, show the source field in your external editor.
Do not upgrade on hope. A 5-second Agnes Video probe is 10 credits. If the concept passes, Seedance 2.5 costs 90 credits at 480p or 195 at 720p for 5 seconds; Kling is 195 without audio or 245 with audio. Veo enters only when a 4/6/8-second cinematic bucket is genuinely worth 80/125/165 credits. Prove hook, subject, and rhythm first, then pay to clean up motion that already worked.
Versioning and handoff
Deliver sales, docs, and social cuts separately: sales leads with pain, docs leads with task, and social leads with the visible result.
The folder is boring on purpose: source, approved reference, generation settings, caption file, platform cuts, QA screenshots, and one correction line. A reusable asset is boring in the right way.
Why this is not a generic answer
The imgmov advantage is the chain: Asset Library preserves the subject reference, Canvas fixes shot order and first/last frames, the workspace routes Agnes to Seedance, Kling, or Veo only after proof, and your external editor adds captions and CTA without regenerating the media.
Do not invent integrations, uptime, savings, or customer data. The demo should prove only what the current build can do. If the request only asks what ai product demo video generator means, a search page is faster. This page is useful when someone must deliver one 30-60 second demo built from 4-8 second shots under real constraints.
Frequently asked questions
Will the UI look real?
Yes when the screen recording is the master. Generated motion is only for context.
The workflow is specific about its stopping point: it starts with screen recording, feature note, and one buyer problem and stops at one 30-60 second demo built from 4-8 second shots. In imgmov, upload the source, lock it as a reference, set 16:9 for docs and sales; 1:1 for embeds, run one proof, and save the passing settings. If a reviewer cannot tell which version is approved, the workflow has failed even when the media looks good.
How long should the demo be?
30-60 seconds for one workflow. Four 5-8 second shots are usually enough.
Do not upgrade on hope. A 5-second Agnes Video probe is 10 credits. If the concept passes, Seedance 2.5 costs 90 credits at 480p or 195 at 720p for 5 seconds; Kling is 195 without audio or 245 with audio. Veo enters only when a 4/6/8-second cinematic bucket is genuinely worth 80/125/165 credits. Prove hook, subject, and rhythm first, then pay to clean up motion that already worked.
Which model is cheapest?
A 5-second Agnes Video clip is 10 credits. For higher fidelity, a 5-second Seedance 2.5 clip is 90 credits at 480p and 195 credits at 720p.
The check is not “does it look AI-nice?” It is: At full size, a buyer should read the button, follow one path, and see the source of the result without marketing language covering the proof. Then the source, approved copy, rejected version, correction, and final crop stay in the same handoff folder.
Can I add a voiceover?
Yes, add it in the external editor after the picture lock. That avoids paying to rerender a whole shot for a wording change.
If UI warps, keep the real frame and animate around it. If the path branches, split the demo. If the metric is unclear, show the source field in your external editor. Change one named variable, keep the old version, and record the credit cost. If the same failure repeats, fix the reference or scope rather than asking the prompt for forgiveness.
Can I sell the demo?
The guest trial is watermarked and not for commercial delivery. Use a logged-in paid plan and check your plan rights before delivery.
The imgmov advantage is the chain: Asset Library preserves the subject reference, Canvas fixes shot order and first/last frames, the workspace routes Agnes to Seedance, Kling, or Veo only after proof, and your external editor adds captions and CTA without regenerating the media. The handoff is reusable only when the source, reference ID, prompt, model, cost, rejection reason, and approved cut are linked. That chain is what makes the next ai product demo video generator task faster.