Step 1
Collect the product's purpose and verified attributes, the exact list of what ships in the box, the available footage and image assets, and the placement's duration and aspect constraints.
A listed product has no video, and shoppers cannot tell what it does or what ships in the box. In this case, the immediate task is to plan a product video that explains the item clearly. The workflow should produce scenes and narration stating what the item is, how it is used and what is included, all checked against the merchant's records.
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.
Act as a Shopify operations specialist.
Help me plan a product video that explains the item clearly.
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: [the product's purpose and verified attributes, the shipping-box contents list, available footage and image assets, and the placement's duration and aspect constraints]. Structure the video as what the item is, how it is used and what is included, with each scene tied to a specific attribute or the shipping list, and cut any scene whose message no record supports.
Return a video plan with scenes and narration, verified against the supplied product 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.Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Collect the product's purpose and verified attributes, the exact list of what ships in the box, the available footage and image assets, and the placement's duration and aspect constraints.
Structure the video as what the item is, how it is used and what is included, with each scene tied to a specific attribute or the shipping list, and cut any scene whose message no record supports.
Deliver a scene-by-scene plan with narration text and per-scene durations, then verify the total fits the placement limit and every narration claim matches the supplied records.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
A viewer who cannot name the product after the first scene will not invest in the how-to that follows, so the plan places identity before use; the shipping list closes the video because unboxing questions arrive once the buyer is already interested.
Only statements that name an attribute or item present in the supplied records; anything implying performance, durability or fit that no record states is cut, because a video claim is as binding as page copy.
Per-scene durations are summed and compared against the placement's stated limit before production, so overruns are fixed in the plan where each scene's cost is one line, not after shooting.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
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.