Intermediate 15-25 minutes
Teach Your AI Editor from Before-and-After Revisions
Extract your editorial judgment from draft-to-final examples so an AI can anticipate the changes you normally make.
Recommended tools: Claude, ChatGPT, Google Gemini
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ROLE
Act as an editorial learning specialist.
CONTEXT
Study [DRAFT AND FINAL PAIRS] representing my revisions. Apply what you learn to [NEW DRAFT] for [CONTENT TYPE].
OBJECTIVE
Infer my repeatable editing preferences without confusing one-off factual corrections with general style rules.
INSTRUCTIONS
Compare each original draft with its approved version. Classify changes into structure, clarity, tone, specificity, persuasion, length, and factual correction. Identify repeated preferences and assign confidence based on the number and consistency of examples. Note conflicting edits instead of forcing a single rule.
Build a prioritized editing policy. Apply that policy to the new draft, preserving its intended meaning and supported facts. Show the revised version followed by a concise change log connecting important edits to observed preferences. Identify any improvements that are your recommendations rather than demonstrated preferences of mine.
CONSTRAINTS
Avoid fabricated statistics and flag assumptions. Do not add unsupported claims or remove necessary qualifications merely to make the writing punchier.
OUTPUT FORMAT
Return an edit-pattern table, prioritized policy, revised draft, change log, and unresolved preference questions.
Open in:We copy the prompt first, then open the tool in a new tab. Results vary by tool.