If you used ChatGPT to outline a research report, draft a lab writeup, or unstick a group section, the prose now reads like ChatGPT and not like a student. TextSight scans your project section by section, shows which lines a teacher's detector would react to, and helps you rewrite them in your own voice so the final draft reflects what you actually learned. Built for K-12 and early college projects: research papers, lab reports, slides, presentation scripts, science fair, capstones. Honest voice check, learning first, not academic misconduct workaround.
Every school project lives inside a teacher's AI policy. Some teachers welcome ChatGPT as a brainstorm helper. Some require disclosure. Some prohibit it entirely. The right move is a one-minute honest conversation before the project starts, not a guess after it is submitted.
"Can I use ChatGPT to brainstorm topics or get unstuck on this project?" "Do I need to disclose AI use somewhere on the final draft?" "Is it okay to use a tool that checks whether my writing reads as AI?" Most teachers respect the question and answer honestly. The students who get into integrity trouble are usually the ones who never asked.
Middle school projects often live under a stricter no-AI rule because the goal is to build the underlying skills. High school is split: some teachers allow AI as a brainstorm assistant with disclosure, others ban it for graded work. College freshman and sophomore year is where AI literacy is increasingly taught as a skill. The policy at your specific school for your specific class is the only one that matters.
The honest move is to put ChatGPT away and start the project over without it. An AI rewriter cannot rescue a project the policy did not permit you to write that way. Building the skill the project is trying to teach is worth more than the grade on this one submission.
Then TextSight is the right kind of tool: a sanity check that catches the sentences where ChatGPT register leaked into your draft so the submitted version reflects your own voice. Disclose the AI assistance per your teacher's rule. Use the AI rewriter to confirm the prose reads like you wrote it, not to disguise that you used AI.
Projects are different from weekly essays. They run multi-week, combine writing with research, citations, and presentation, and often involve a group. Each project type has its own AI tells.
The 1,500 to 3,000 word research project for English, history, or social studies. The biggest AI tell is sourceless paraphrasing: "studies have shown" with no author, year, or page. Real student research names the source in the sentence. The AI rewriter flags every paragraph missing an anchor and gives you a chance to drop the specifics back in.
Methods, results, and discussion sections for biology, chemistry, physics, or the science fair. Lab writing has a rigid structure that detectors sometimes false-flag on its own, but the real risk is the methods section reading too clean. Real procedures include the trial that failed, the timer that died, the probe you recalibrated. AI versions are too polished. The AI rewriter suggests where to add the messy specifics only your group knows.
Your share of a multi-person doc. AI flavor compounds when multiple members paste ChatGPT into the shared file, even if each individual sentence looks fine. Rewrite your section before merging it into the group doc, not after. One teammate should also do a final voice-consistency pass on the merged file.
The speaker notes for a slide deck and the script you read aloud during the presentation. Spoken language is shorter, more casual, full of contractions. AI-written scripts sound like an essay being read aloud: 20-word sentences, no contractions, no rhetorical questions. The AI rewriter trims script sentences to spoken length and adds contractions.
The big end-of-year project that combines research, writing, and presentation. Multi-week timelines work in your favor here: rewrite one section per day in the final week rather than trying to clear a 3,000-word project the night before. The free tier covers a typical capstone if you spread the work across days.
Most students reading this page are under 18. We are not going to pretend we are selling AI-detector workaround software. The framing matters because what students learn in K-12 shapes how they use AI for the rest of their working lives.
A research project is teaching you to read sources, synthesize ideas, and explain them in your own words. A lab report is teaching you to observe carefully and communicate what you saw. A presentation is teaching you to speak. ChatGPT can do parts of those tasks, but it cannot do the learning. If you skip the learning, the grade is borrowed and the skill is missing when you need it later.
Asking ChatGPT to suggest five topics for a research project, picking one yourself, doing your own reading, drafting your own paragraphs, and using the assistant to unstick a sentence that will not flow. That is closer to a study group than to academic misconduct. The submitted draft still reflects what you read and what you understood. The AI rewriter in this scope is a careful proofread.
Pasting a teacher's prompt into ChatGPT, copying the output into your project, and running it through an AI rewriter to disguise that you did not do the work. We will not pretend otherwise. The classifier will tell you the draft reads AI and the AI rewriter will not magically fix it; it cannot put thinking that was not there. The score is diagnostic, not laundering.
The bias against non-native English writers is real and we measured it. TextSight returns about 40 percent fewer false positives on ESL writing than the average competitor. The AI rewriter defaults to Light mode when ESL register is detected so it does not flatten your second-language voice. Run the scan, trust the highlights, and only rewrite the sentences the classifier flags.
Projects are multi-week submissions. That timeline is your friend. Spread the AI rewriter work across the final week instead of pulling an all-nighter on the merged doc.
Write in Google Docs, Word, your slide tool, or your lab notebook. Use ChatGPT exactly the way your teacher's policy allows: brainstorm, unstick, outline, edit. Keep your sources, citations, and any data you collected in your own file.
A 2,000-word research project breaks naturally into intro, methods or background, results or body, discussion, and conclusion. Scan each section separately. You get an Authenticity Score per section and sentence-level highlights showing which specific lines pull the score down.
Light is the right default for K-12 work because it preserves your sentence structure and only adjusts the AI-flagged sentences. Balanced fits longer college freshman projects. Maximum is risky for school projects: it can flatten your voice and trigger teacher suspicion if the final draft sounds nothing like your in-class writing. Default to Light unless you have a specific reason to push harder.
For research sections, drop a source name and a year into every paragraph. For lab reports, add one detail only your group knows: which trial failed, what you recalibrated. For presentation scripts, contract every verb you can. For group sections, match your teammates' register on a quick re-read. These specifics are what detectors cannot fake.
Aim for above 70 on standard projects, above 80 on a capstone or science fair worth a big share of the term grade. If a section stalls below 70, the underlying writing is too AI-shaped to polish and you need to rewrite the structure, not just the words. Then submit through Google Classroom, Canvas, Schoology, or Microsoft Teams as normal.
For school projects, the mode you pick matters more than for blog content. Maximum can flatten the student voice your teacher already knows from class discussion, and that mismatch is its own AI tell.
Light makes mild edits and preserves the sentence structure you wrote. Score gains per pass are smaller, but the output still reads like a student wrote it. This is what we recommend as the starting mode for any K-12 project, lab report, or middle school research piece. Your in-class writing voice stays intact.
Balanced runs moderate rewrites and is the right choice for 1,500 to 3,000 word college freshman projects, multi-section research papers, and capstones. It shifts vocabulary and rhythm more aggressively than Light without flattening voice. Use it after a Light pass has already cleaned the easy sentences.
Maximum runs the most aggressive rewrite and produces the biggest score gain per pass. The caveat is real and specific to school work: aggressive rewrites replace your distinctive phrasing with generic conversational patterns. If your teacher knows your in-class writing voice and the project sounds nothing like it, that gap is its own red flag, even with a high Authenticity Score. Reach for Maximum only on isolated red sentences after a Light or Balanced pass, never on the whole draft.
The default we recommend for school projects: start on Light. If a section is still below 70 afterward, run Balanced on the remaining red sentences. Only touch Maximum on the few sentences that still flag after both passes, and re-read every Maximum sentence to confirm the meaning held.
All three modes available on every paid plan. Students with a verified .edu email get Pro at $13.99 per month instead of $19.99. Free tier handles a typical K-12 project. Upper-classmen with weekly project loads do better on Pro. Full details on the pricing page.
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The full student workflow, .edu discount, and how to use TextSight inside your academic policy.
Open student page →The sibling guide for weekly essays. Five-paragraph, argumentative, narrative, persuasive, comparison.
Open essay guide →The pre-submit scan for grades 9 through 12. Same calibration, more about the detection conversation.
Open the detector →How the score is computed and what threshold to aim for before you submit a graded project.
Read the guide →Free to try, no card. Built for K-12 and early college. Talk to your teacher about AI policy first.