01
Step 1
Write down the task being automated, its trigger event, the conditions that must hold for it to run, the records it may read and write, and the previous values needed to roll a change back.
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Spark playbook scenarios · Spark: AI Store Assistant
Design a repeatable store automation workflow
The merchant wants a recurring chore to stop depending on memory, but past attempts misfired on repeats and failures. In this case, the immediate task is to design a repeatable store automation workflow. The workflow should document the trigger, conditions and permitted actions, then rehearse normal, repeated and failed events before anything is trusted.
Topic
Store Workflow Automation
Target keyword
shopify automation app
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 design a repeatable store automation workflow.
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 task description, its trigger event, the conditions that must hold, the records it may read and write, the previous values kept for rollback and the merchant's retry limit]. Rehearse the design against a normal event, a repeated event and a failed event, recording for each what the workflow did, what it wrote and whether it stopped where it should, and mark any branch with no defined behaviour as a gap.
Return a workflow specification with acceptance checks 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
Rehearse the design against a normal event, a repeated event and a failed event, recording for each what the workflow did, what it wrote and whether it stopped where it should, and mark any branch with no defined behaviour as a gap.
03
Step 3
Deliver the specification with the trigger, conditions, permitted actions, retry limit, failure route and acceptance checks, then run it once against a single record and confirm the outcome matches the acceptance check before any wider run.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Why rehearse a repeated event separately?
The same trigger often fires twice for one real event, and a workflow without an idempotency check applies its action twice. The rehearsal shows whether the second run is detected and skipped.
What belongs in an acceptance check?
A condition observable in the store afterwards, such as a field holding the expected value or a log row written. Vague checks let a broken run pass unnoticed.
Should the automation run on every matching record at once?
Only after a single-record run passes its acceptance check. Starting wide turns a design mistake into a store-wide correction that then needs rollback.
Related scenarios
Continue with adjacent or same-topic scenarios
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Next step
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