01
Step 1
Inventory every source clip with its content description, duration, the product attribute it demonstrates, and its technical quality, marking unusable takes separately from usable alternates.
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Spark playbook scenarios · Spark: AI Store Assistant
Prepare an edit plan for ecommerce video footage
Raw footage sits in a folder with no decision on order, trims or what each shot is meant to prove. In this case, the immediate task is to prepare an edit plan for ecommerce video footage. The workflow should produce a shot-by-shot plan that keeps the demonstration accurate, fits the stated duration and cites the merchant's product records.
Topic
Product Video Creation and Editing
Target keyword
ecommerce video editor
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 prepare an edit plan for ecommerce video footage.
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: [source clips with content descriptions, durations, demonstrated attributes and technical quality, plus unusable-take markings]. Set the cut order so each attribute the merchant prioritized gets a shot, choose trim points that never end mid-action on a demonstrated attribute, and keep the summed section durations inside the stated video length.
Return a shot-by-shot edit plan and check each cut against the supplied footage and 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.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
Set the cut order so each attribute the merchant prioritized gets a shot, choose trim points that never end mid-action on a demonstrated attribute, and keep the summed section durations inside the stated video length.
03
Step 3
Deliver a shot-by-shot edit plan naming source clip, in-point, out-point, duration and demonstrated attribute per shot, then verify every planned cut against the actual clip contents and the attribute list.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Why log the demonstrated attribute per clip?
The attribute list is what lets the plan prove coverage, since each prioritized attribute must appear in some shot; an unlabeled clip is unusable for planning because nobody can tell what it was meant to show.
What makes a trim point wrong?
A cut that ends while the demonstrated action is still in progress, since the viewer sees a truncated result and infers the product does something it never finished showing; trims must land on completed actions.
How is the plan checked against the footage?
Each planned in-point and out-point is verified against the actual clip to confirm the described content really sits inside that range, and the per-shot durations are summed against the stated length before the edit begins.
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