AI images: A practical copyright and authenticity checklist

Review licensing, resemblance to real people, source assets and permissions before publishing.

Before you start

Choose a practical, non-sensitive task and define the input, expected result and quality criteria. Check the provider’s documentation, availability and current usage terms.

A reliable workflow

1. Write down the problem and create a representative sample.
2. Run the workflow and record the output along with limitations or errors.
3. Verify claims, references, numbers and brand compliance manually.
4. Repeat using the same data, then compare editing effort, time and total cost.
5. Save a reusable checklist instead of blindly repeating generated answers.

Common mistakes

Vague requests, unverified AI outputs, sensitive data pasted into unapproved services, and judging a tool from a single demo can undermine results. Small controlled experiments are more useful than marketing promises.

Source: official reference. This is a practical editorial overview and not an independent product benchmark.