What should a creator's AI-workflow audit examine?
Map production, review and delivery before buying automation. A demonstration can hide revision, rights and formatting work still performed by people.
Read the guide →Map production, review and delivery before buying automation. A demonstration can hide revision, rights and formatting work still performed by people.
Read the guide →Save intent, inputs and version, not only a successful prompt. A collaborator needs to understand what changed and why.
Read the guide →Document the production chain without claiming it settles legal ownership. Provenance helps review inputs, edits and restrictions.
Read the guide →Check each component against the intended use. Clearing one image does not clear every font, person or trademark in the final composition.
Read the guide →Use task-specific criteria and failure examples rather than a single aesthetic score. Accuracy, brief compliance, usability and originality concerns need separate checks.
Read the guide →Name who checks each issue and what evidence they need. A final thumbs-up can leave accuracy, rights or technical questions unexamined.
Read the guide →Confirm authorization, confidentiality and tool handling before upload. A convenient interface does not prove client material may be shared.
Read the guide →Release an identified set with status and dependencies. Several competing files named final do not make a reliable delivery.
Read the guide →Use qualified language review for meaning and audience fit where needed. Matching paragraph counts alone does not establish accuracy.
Read the guide →Separate output, editable files, review and rights documentation. Tool use should not obscure what the client receives.
Read the guide →No matching guide
Original editorial guidance. Examples are illustrative, not client cases, measured outcomes or promised services.
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