AI Detector Examples: Real Flagged Paragraphs With Before/After Fixes

Search AI detector examples and you mostly land on paste-box tools or “how detectors work” explainers. What people actually need is narrower: this paragraph shape gets highlighted — here is why — here is a revision that keeps the claim.

This page is that library. Each case is a flagged-style paragraph, the detector-facing pattern, a before → after rewrite, and one habit you can reuse. Scores differ by tool and length; treat the examples as pattern labs, not promised percentages. Background on the metrics lives in how AI detectors work; reading highlights (not only the headline %) is covered in how to read AI detector scores.

What “flagged” usually means in a report

Most student-facing tools (Turnitin-style reports, GPTZero-class checkers, Grammarly/QuillBot detectors) do some version of:

1. Split the text into sentences or short spans
2. Score each span for AI-like statistical patterns
3. Color-code high-confidence spans
4. Roll those up into a document percentage

A red paragraph does not prove ChatGPT wrote it. It means the span looks like training data for machine prose: low surprise word-by-word (perplexity), even length (burstiness), familiar glue phrases. Formal human writing and ESL academic English can trip the same sensors — see AI detector false positives.

How to read each example below

Paste any of these into a free checker if you want a live score — expect the flagged versions to run hotter than the afters. Your mileage will vary by model and minimum word count.

Example 1: The “digital age” introduction

Flagged:

"

In today’s digital age, technology plays a crucial role in modern education. It has transformed learning environments, enhanced student engagement, and fostered collaboration among learners in meaningful ways.

Signals:

• Era cliché: today’s digital age
• Soft filler: plays a crucial role, in meaningful ways
• Perfect triad of abstract verbs (transformed / enhanced / fostered)
• No course, campus, or reading appears
• Three mid-length sentences of similar weight → flat burstiness

After:

"

After our department moved problem sets onto the LMS, attendance at the Thursday help desk fell — not because students stopped needing help, but because the auto-graded quizzes never showed which algebra step failed. The policy question for EDUC 210 is whether that counts as “engagement” or just faster failure.

Habit: Open with a named local fact and a narrow question, not a century-wide claim.

---

Example 2: Transition stacking (Furthermore → Moreover → Additionally)

Flagged:

"

Furthermore, mental health resources are essential on campus. Moreover, it is important to note that students face unprecedented stress. Additionally, universities must prioritize wellness to ensure academic success.

Signals:

• Transition-adverb chain at sentence starts (a known RLHF fingerprint)
• Hedge template: it is important to note
• Inflated stakes: unprecedented, must prioritize
• Three sentences restating one vague claim → low lexical surprise

After:

"

Counseling wait times on our campus hit 18 days in October (student senate report, 2025). Students who needed a same-week appointment used the overnight crisis line instead — which is not a wellness strategy, it is overflow. Funding one more FTE counselor moves the needle more than another awareness week.

Habit: Cut the glue words. Put the number or observation in the first clause.

This is the phrasing PassMyEssay targets as a ChatGPT watermark remover and phrase cleaner: strip invisible paste characters, highlight Furthermore/Moreover/Additionally stacks, rewrite with meaning locked so your claim survives.

Example 3: Advantages / disadvantages with no thesis

Flagged:

"

There are both advantages and disadvantages to remote work. On the one hand, employees enjoy flexibility and reduced commuting. On the other hand, collaboration and work-life boundaries can suffer. Ultimately, organizations must carefully weigh both sides when implementing policies.

Signals:

• Five-paragraph skeleton without a stake
• Symmetrical on the one hand / on the other hand
• Fake synthesis: ultimately… both sides
• Zero evidence, zero decision

After:

"

Our marketing team’s hybrid pilot cut commute hours, but sprint demos slipped when half the room joined on mute with cameras off (internal standup notes, Q1). Keep remote for deep-work Tuesdays; require in-person for critique days. Treating “remote vs office” as a single switch is the mistake.

Habit: Pick a side and insert one measurable outcome — even a small one from your notes.

---

Example 4: Uniform sentence length (low burstiness)

Flagged:

"

Climate policy requires international cooperation. Nations must reduce emissions through coordinated frameworks. Effective agreements depend on shared responsibility and transparent reporting. Long-term progress will require sustained commitment from all parties.

Signals:

• Four sentences ≈ 8–12 words each
• Parallel Subject + modal + abstract noun syntax
• Vocabulary from a policy brochure (frameworks, shared responsibility, sustained commitment)
• High predictability token-to-token

Compare length variance: humans often mix a 5-word punch with a 28-word explanation. AI drafts cluster tight.

After:

"

COP pledges only matter if domestic law can enforce them. The U.S. Inflation Reduction Act moved money into manufacturing faster than any new treaty text — which is why activists now track factory permits, not just summit communiqués. Shared responsibility without a budget line is a press release.

Habit: Write one short sentence on purpose next to one long one. Break the metronome.

---

Example 5: AI focal vocabulary (delve / tapestry / leverage / holistic)

Flagged:

"

This paper will delve into the complex tapestry of social media’s impact on identity. By leveraging a holistic perspective, we can unpack the nuanced ways platforms shape self-perception among young adults.

Signals:

• Post-ChatGPT buzzwords that spiked in academic-sounding AI drafts: delve, tapestry, leverage, holistic, nuanced, unpack
• Announcement of intent instead of an argument (This paper will…)
• No theorist, dataset, or case

After:

"

I focus on Instagram’s “Close Friends” feature among first-year students in our residence hall survey (n = 42). Respondents described identity less as performance for strangers and more as curated honesty for a smaller list — which complicates older “front stage / back stage” accounts of online self-presentation.

Habit: If a word sounds like a press release, swap it for a concrete noun from your evidence.

Example 6: Conclusion that only renames the intro

Flagged:

"

In conclusion, this essay has explored the key aspects of the topic and highlighted their importance. By understanding these issues, society can move toward a better future. Continued research and thoughtful action will be essential going forward.

Signals:

• Meta-summary: this essay has explored
• Uplift filler: better future, thoughtful action, going forward
• No new claim, constraint, or next step
• Mirrors the intro’s emptiness — a classic AI closing shape

After:

"

If the residence hall survey is right, orientation should teach Close Friends settings the same week it teaches Title IX reporting — not as a tech tip, but as a privacy skill. That is a narrower, testable recommendation than “more research on social media.”

Habit: End with a decision, limit, or next action tied to your evidence.

---

Example 7: Mixed authorship hotspot (human thesis + AI body)

Likely quieter (yours):

"

I disagree with the claim that congestion pricing only hurts low-income drivers, because the NYC MTA’s 2024 pilot data showed bus speeds rising on crosstown routes that working-class riders actually use.

Likely hotter (lightly edited chat paste in the same essay):

"

Transportation equity remains a multifaceted challenge. Stakeholders must consider economic, social, and environmental factors when evaluating urban mobility reforms. Effective solutions require collaboration across agencies and communities.

Signals:

• Document score can look “mixed” while one paragraph drives the highlight
• Generic body under a specific thesis is a common student failure mode
• Section-level tools catch this; single percentages hide it

Fix the hotspot:

"

Equity here is not abstract. Faster buses on those crosstown lines cut a 55-minute commute for riders transferring from the 7 train — the group pricing critics claimed to protect. The right metric is door-to-door time for that cohort, not average downtown car delay.

Habit: Every body paragraph must meet the same specificity bar as your thesis. Or paste the full draft into PassMyEssay and revise only the highlighted lines.

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Example 8: Clean-looking ChatGPT paste (what you don’t see)

What you see:

"

Ribosomes translate mRNA into polypeptides during protein synthesis, a process central to cell growth and enzyme production.

Accurate. Short. Looks human enough in isolation.

What may still be in the file:

ChatGPT copy-paste often carries characters that do not display:

• Zero-width space (U+200B)
• Word joiner (U+2060)
• Non-breaking space (U+00A0) where a normal space belongs

Style detectors may ignore them. Integrity workflows and some watermark-aware checkers do not. You can have robotic phrasing and technical residue at once.

Fix: Paste into PassMyEssay first. The homepage workflow is built as a ChatGPT watermark remover: clear paste residue, flag machine-sounding sentences, rewrite stock phrases while locking meaning. Free to try. Then apply the specificity habits from Examples 1–7.

Most public AI detector examples stop at wording. The paste layer is the gap this product owns.

Pattern cheat sheet

Revision order that matches these examples

1. Clean ChatGPT paste on PassMyEssay — watermarks + stock phrases
2. Find the highlighted spans in your detector report (ignore vanity %)
3. Rewrite each span with one concrete detail and uneven sentence length
4. Re-scan only to confirm the hotspot moved — not to chase 0%
5. Keep outlines, notes, and drafts — process evidence beats any example score

Pair with AI detector for essays for a pre-submit checklist and how to show your writing process if your essay is flagged if you need a defense packet.

Use examples to write better — not to costume the draft

AI detector examples are useful when they show the shape of a flag: vague openers, transition spam, pros/cons shells, metronomic length, buzzword fog, hollow endings, mixed-authorship hotspots, and invisible paste.

Fix the writing. Run ChatGPT watermark removal and phrase cleanup at PassMyEssay. Add the course-connected specifics only you have. Detectors estimate patterns; strong essays break the generic ones on purpose.