1
A fiction writer requests critique only on scene goals, conflict, and viewpoint consistency.
8 AI Critique Workflow Examples
Use these examples to study structure, specificity, tone, and variation. They are demonstrations—not claims about a real person or organization unless the example itself makes that explicit.
Before you copy
What to notice in the examples
A useful AI critique separates observations from proposed fixes, asks for evidence from the supplied draft, avoids pretending to know reader reactions with certainty, and leaves final editorial judgment with the writer.
- Define the evaluation criteria before sharing the draft.
- Ask the model to cite the specific passage that triggered each critique.
- Separate high-confidence structural issues from subjective preferences.
2
A graduate applicant asks whether each paragraph of a statement of purpose demonstrates preparation or merely asserts interest.
3
A product marketer asks whether landing-page claims are supported by the supplied proof points.
4
A manager asks whether a memo makes the decision and owner visible within the first two paragraphs.
5
A researcher asks the model to flag places where correlation is described as causation.
6
A blogger asks whether headings accurately describe the sections beneath them.
7
A technical writer asks where instructions contain ambiguous pronouns or missing prerequisites.
8
A poet asks for observations about image repetition without requesting a rewrite of the poem.
Keep the underlying decision or pattern, then replace the subject, evidence, relationship, constraints, and tone with details that belong to your situation. If your final line still works after swapping only one noun, it may be too close to the example.