Write a rough draft, get targeted AI feedback on specific elements (thesis strength, evidence quality, logical flow), revise, then loop again rather than trying to perfect everything at once. This mirrors how professional writers actually work and prevents the false efficiency of single-pass drafting.
Iterative drafting is a writing workflow where you submit a rough draft to an AI, incorporate its feedback, then submit the revised version again in a continuous loop of improvement rather than doing a single round of edits.
This process mirrors how professional writers work with editors and helps students move from a weak first draft to a polished final submission by treating AI as a tireless revision partner who can respond to the specific weaknesses in each new version.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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