Step 1
Start with order states, business rules, eligible actions, exceptions and connected-system capabilities.
Repeated order handling creates delays or inconsistent classifications. In this case, the immediate task is to define an order workflow with explicit exception paths. The workflow should produce an order handling workflow and test cases, using the merchant's actual records and constraints.
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 define an order workflow with explicit exception paths.
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: [provide order states, business rules, eligible actions, exceptions and connected-system capabilities]. Define the order decision path, simulate normal and exception cases and keep an auditable record of proposed or completed actions.
Return an order handling workflow and test cases 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.Start with the business context, the trigger, and the expected output before moving into the execution steps.
Repeated order handling creates delays or inconsistent classifications. In this case, the immediate task is to define an order workflow with explicit exception paths. The workflow should produce an order handling workflow and test cases, using the merchant's actual records and constraints.
Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Start with order states, business rules, eligible actions, exceptions and connected-system capabilities.
Define the order decision path, simulate normal and exception cases and keep an auditable record of proposed or completed actions.
Deliver an order handling workflow and test cases; verify the result against the supplied records and identify unresolved inputs.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Unusual payment, address or stock conditions may need different handling from a normal order.
It should not. Status should reflect verified outcomes, with failures and pending steps visible.
Start with order states, business rules, eligible actions, exceptions and connected-system capabilities. These inputs establish the relevant scope and help separate an actual issue from missing information or an unsuitable comparison. Without them, the result should remain a proposed approach rather than a confirmed diagnosis.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
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