Get AI Feedback on Your Draft
Use AI as an editor to identify weak arguments, improve clarity, and strengthen your writing—while keeping your authentic voice.
What AI Can Review For You
The fundamental goal: Use AI to spot issues in your draft that you might have missed, then decide yourself how to fix them. AI identifies problems; you solve them.
Four Key Areas for AI Review
Argument Clarity
Is your main point clear and well-defined? Are you making claims without adequate support? Do your paragraphs connect logically to build toward your thesis? AI can identify where readers might get confused about what you're actually arguing.
Evidence Quality
Does your evidence actually support your claims, or are you making logical leaps? What counterevidence should you address? Where are the gaps in your reasoning? AI excels at spotting when evidence doesn't quite match the claim you're making.
Flow & Transitions
Do your ideas flow smoothly from one to the next? Where do readers get lost? Are transitions natural or do they feel forced? AI can identify abrupt topic shifts that confuse readers.
Thesis Strength
Is your thesis specific and arguable (not just a fact)? Does it preview your argument effectively? Is it positioned where readers expect to find it? A weak thesis undermines even well-written body paragraphs.
Time investment: 15-20 minutes for a complete draft review can save hours of revision by catching issues early.
Types of Feedback: What to Fix First
Not all feedback is equally important. Use this color-coded system to prioritize your revisions:
Fix These First (Before Anything Else)
- Unclear or missing thesis: Without a clear thesis, readers don't know what you're arguing
- Major logical gaps: Arguments that don't follow from your evidence
- Evidence that doesn't support claims: You cite something but it doesn't actually prove your point
- Contradictory paragraphs: Different parts of your paper contradict each other
Why these are critical: These issues fundamentally undermine your argument. No amount of polish will fix a paper with a weak thesis or major logical gaps. Address these before moving to lower-priority issues.
Should Address These (Significantly Improve Quality)
- Weak transitions: Readers can follow your argument but it feels choppy
- Vague or overly broad claims: Your points would be stronger if more specific
- Missing counterarguments: Not addressing obvious objections weakens credibility
- Structure issues: Thesis placement, paragraph organization could be better
Why these matter: Your argument is sound, but these issues make it harder for readers to follow or less persuasive than it could be. Fix these after critical issues but before polish.
How to Get Useful Feedback
The quality of feedback you receive depends entirely on how you ask for it. Here's how to write prompts that get you genuinely helpful criticism:
Starter Prompt: Comprehensive Review
When to use this: First pass on a complete draft when you want to identify major issues across the entire paper.
Why This Prompt Works
Specificity: Instead of asking "is this good?", you're asking for specific types of problems. This gives AI a clear framework for analysis.
Focus on identification, not solutions: You want AI to point out problems so YOU can fix them. This keeps your voice intact and helps you learn.
Numbered list: Forces AI to address each area systematically rather than giving vague feedback.
Focused Prompt: Thesis Evaluation
When to use this: Before writing your full draft, or when revising a weak thesis. Your thesis is the foundation—get it right first.
Why This Prompt Works
Explicit criteria: You're teaching AI what makes a good thesis by providing standards. This gets you diagnostic feedback, not just "it's good" or "it's bad".
If/then structure: Forces AI to check each criterion independently and explain deficiencies. This is much more useful than a general thumbs up/down.
Focused Prompt: Evidence-Claim Matching
When to use this: When you're uncertain whether your evidence actually supports a claim you're making. This is one of the most common essay problems.
Why This Prompt Works
Isolates the claim-evidence pair: By presenting just one claim and its evidence, you get focused analysis rather than overwhelming feedback on everything.
Asks about logical leaps: This targets the exact problem—are you assuming connections that aren't justified? AI can spot these.
Constructive forward direction: Asking "what would strengthen this" moves you toward solutions, not just problem identification.
Before & After: What Good Revision Looks Like
Seeing concrete examples helps you understand what "unclear argument" or "weak transition" actually means in practice:
Example 1: Vague Argument → Specific Argument
Social media has many effects on society. It changes how we communicate and interact with each other. Many people use it for different reasons. This has led to various outcomes that affect how we live.
Problems: No specific claim, vague language ("many effects," "various outcomes"), no evidence.
Social media platforms have fundamentally altered political discourse by creating echo chambers that reinforce existing beliefs. Studies show that 64% of users primarily encounter news that aligns with their existing views (Smith, 2022), leading to increased political polarization and decreased willingness to engage in cross-partisan dialogue.
Improvements: Specific claim about echo chambers, concrete evidence with citation, clear cause-and-effect relationship.
Example 2: Disconnected Paragraphs → Smooth Flow
End of Paragraph 1: "...early childhood education plays a crucial role in development."
Start of Paragraph 2: "Teacher training programs have evolved significantly over the past two decades."
Problem: No logical connection. Reader thinks "why are we suddenly talking about teacher training?"
End of Paragraph 1: "...early childhood education plays a crucial role in development."
Bridge sentence added: "Given this critical importance, ensuring that early childhood educators are properly equipped to foster development becomes paramount."
Paragraph 2 continues: "This necessity has driven significant evolution in teacher training programs over the past two decades..."
Improvement: Bridge sentence connects the importance of education to the need for teacher training. Logical flow established.
Do's and Don'ts for AI Feedback
Following these principles ensures you use AI as a learning tool, not a crutch:
- Ask AI to identify problems, not fix them: "Where is my argument unclear?" not "Rewrite this to be clearer"
- Review all feedback before acting: Don't implement suggestions one by one. Read everything, then decide priorities.
- Fix issues yourself first: Try your own revision, then compare to AI's suggestions. This builds your skills.
- Prioritize critical issues over polish: Fix logical gaps before worrying about word choice.
- Use feedback to learn patterns: If AI keeps flagging vague claims, that's a skill you need to develop.
- Copy-paste AI's rewrites: This is plagiarism and you learn nothing. Always revise in your own words.
- Accept every suggestion blindly: AI doesn't understand your assignment context. You decide what's relevant.
- Use AI to generate your first draft: The learning happens in the struggle. AI should review, not write.
- Let AI change your voice: If AI's suggestions don't sound like you, ignore them. Your voice matters.
- Skip understanding why something is wrong: Always ask "why is this a problem?" Understanding builds skills.