Your first week with AI: a practical workflow checklist

Pick a task with a clear result, such as a product concept, a short scene or a narration excerpt. Explain who will use it and what would make the result unacceptable.

Avoid judging the platform through a random sequence of impressive demos. A representative brief is more useful than a collection of unrelated outputs.

Check the selected model, input mode, settings and cost. Use only the sources needed to explain the brief and keep their roles clear. Start with a bounded task before committing to a longer project.

Save the original prompt and source files. Watch or listen to the complete result, inspect the important details and record why each attempt was accepted or rejected.

If the task fails, identify the missing or conflicting requirement. An overloaded action may need a simpler shot; pronunciation may need a rewritten sentence; a product edit may need a clearer source.

Change the brief, source or setting in a way that tests that explanation. Repeating the same request without a reason can spend the trial budget without teaching you much.

• Keep the model and source stable during a comparison.
• Note the total cost of the attempts you used.
• Include finishing work when judging whether the result is useful.

At the end of the trial, document the task, accepted source format, model selection, settings and review checklist. Include examples of common failures and the next step when the normal route does not work.

Keep the process open to revision. The purpose is to make the next attempt easier to assess, not to create a rule that every task must use the same model.