01
Step 1
Collect the verified use steps in their recorded order, the product attributes each step demonstrates, the audience's practical questions, and the intended runtime ceiling for the demo.
Back to topic
Spark playbook scenarios · Spark: AI Store Assistant
Create a product demonstration video script
Shoppers ask how the product works in practice, and the listing has no demonstration that answers them. In this case, the immediate task is to create a product demonstration video script. The workflow should produce a scripted demo running from setup to result, with shot directions and no claim beyond the merchant's records.
Topic
Product Video Creation and Editing
Target keyword
product demo video generator
Copyable AI prompt
A prompt you can drop directly into Spark
First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.
ai-prompt.txt
Act as a Shopify operations specialist.
Help me create a product demonstration video script.
My store context is [describe the business, products and target audience].
My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [verified use steps in recorded order, the attributes each step demonstrates, the audience's practical questions, and the intended runtime ceiling]. Sequence the demonstration from problem to setup to use to result, keeping every verified step visible and pausing only on steps the audience is known to get wrong, with no claim extending past what the steps show.
Return a scripted demo with shot directions and confirm each step against the supplied records for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.How to solve
A recommended resolution workflow
Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
02
Step 2
Sequence the demonstration from problem to setup to use to result, keeping every verified step visible and pausing only on steps the audience is known to get wrong, with no claim extending past what the steps show.
03
Step 3
Deliver a shot-by-shot script with narration, shot directions and per-step durations, then verify each narrated step against the record and confirm the summed runtime stays inside the stated ceiling.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Why keep the recorded step order?
The recorded order is the sequence the product was verified to work in, and reordering it for narrative reasons invites misuse or implies capabilities the steps never demonstrate; deviations need merchant approval in the script margin.
How is each shot tied to a claim?
Every narration line names what the paired shot shows, so no line can outrun its footage; if a step cannot be filmed, its claim moves to on-screen text marked as unverified rather than staying in the voiceover.
What does the runtime check protect?
Summing per-step durations against the stated ceiling keeps padding out of the script; scenes that serve no verified step or known audience question are the first cuts, protecting clarity instead of runtime.
Related scenarios
Continue with adjacent or same-topic scenarios
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Next step
Want these AI scenarios embedded directly into daily operations?
Ciwi Spark builds Shopify-native AI tools and agents around the workflows merchants actually run: research, ads, translation, and customer support. Stop rewriting the same prompts by hand.