How to Paraphrase ANYTHING with AI, Undetected (3 Easy Steps)
Based on Andy Stapleton's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.
Use AI paraphrasing tools (Jenny AI, Yomu, Siace) to generate candidate rewrites, but treat them as drafts rather than final text.
Briefing
Paraphrasing with AI is easy; passing it off as “undetected” without doing real synthesis is not. The core message is that AI can rewrite text, but the only defensible way to paraphrase is to transform the ideas in your own words—then verify structure and citations—before running a plagiarism check that matches what schools use.
The workflow starts with AI paraphrasing tools that rewrite highlighted text in different tones and lengths. Jenny AI offers selectable paraphrase styles (e.g., academic, casual, persuasive) and generates a replacement you can accept or retry. Yomu works similarly: highlight the passage, choose paraphrase, and select options like shortening, expanding, or summarizing. A third option, Siace, takes a more manual approach—paste the text (often paragraph-by-paragraph or sentence-by-sentence), choose rephrase settings such as length variation and even language, and then generate a rewritten version.
But the transcript draws a hard line: copying and pasting AI output is still plagiarism. The key step is synthesis through explanation. After generating paraphrases, the writer should read the text multiple times and then explain it to someone else. If no person is available, the advice is to talk it out loud to a “sock puppet,” a pet, a friend, or even a microphone cover. The point is cognitive: explaining forces understanding and turns reading into synthesis rather than memorization. The transcript also suggests capturing that explanation via voice-to-text or recording yourself and typing it up later.
AI can still help at the “idea shaping” stage. Using Jenny or Yomu commands like simplify, shorten, expand, academic, or summarize can generate alternative phrasings that then “seep” into how the writer explains the concept. Yet the output must be treated as inspiration, not a final draft. The writer should then edit deliberately: replace words that don’t match how they would actually speak (the transcript uses examples like avoiding “staggering” or “complex interplay of factors” if those don’t feel natural), and adjust sentence structure while preserving meaning.
A final quality check focuses on organization. After revisiting the draft, the writer should consider whether sentences or whole ideas belong in a different order—because human understanding isn’t always linear. Small structural moves can make the paraphrase read more coherently, especially for general readers. The transcript also stresses citation as a non-negotiable step: if the ideas, results, or experiments are someone else’s, the writer must add sources using tools’ citation features (e.g., “add citations” in Jenny) or manual citations.
The last step is verification. The transcript recommends using plagiarism detection tools that align with what universities use—citing Turnitin’s market presence and suggesting services like Paperpal (and a free Scribbr option partnered with Turnitin) to compare “apples with apples.” If the plagiarism score is high, the fix is not to game the system but to go back, rewrite, and explain again—using the “meat brain” synthesis process—then recheck.
Cornell Notes
AI can paraphrase highlighted text quickly using tools like Jenny AI, Yomu, and Siace, offering options for academic tone, length changes, and even language. The transcript warns that accepting AI output as-is is still copying, so paraphrasing must include synthesis—especially by reading the text and then explaining it out loud in one’s own words (to a person, or even a “sock puppet”/pet/microphone cover). After explanation, the writer should edit for natural word choice and adjust sentence structure while preserving meaning. Next comes organization: reorder ideas if needed so the flow makes sense. Finally, add citations for any borrowed ideas and run a plagiarism check aligned with school tools (e.g., Turnitin-based checks) before submitting.
What’s the fastest way to generate a paraphrase with AI, and what options matter?
Why does the transcript insist that paraphrasing isn’t complete after AI rewrites the text?
How does explaining the text out loud improve paraphrasing quality?
What editing steps help ensure the paraphrase sounds like the writer, not the AI?
How should structure be handled during paraphrasing?
What are the final compliance steps before submission?
Review Questions
- Which AI paraphrasing tools are mentioned, and what kinds of options do they offer (tone, length, language, or sentence-by-sentence input)?
- What does “explain it out loud” accomplish in the paraphrasing process, and how is it used to generate a draft?
- After generating paraphrases, what three checks does the transcript prioritize before submission (word choice, structure, citations/plagiarism verification)?
Key Points
- 1
Use AI paraphrasing tools (Jenny AI, Yomu, Siace) to generate candidate rewrites, but treat them as drafts rather than final text.
- 2
Paraphrasing is completed only after synthesis—read the text and explain it in your own words out loud (recording if needed).
- 3
Edit for natural language by replacing words and phrases you wouldn’t actually use, while preserving the original meaning.
- 4
Reorder sentences or ideas if the structure doesn’t flow logically; small moves can significantly improve clarity.
- 5
Add citations for any external ideas, results, or experiments using tool citation features or standard referencing.
- 6
Run a plagiarism check that aligns with school systems (Turnitin-based checks are highlighted); if flagged, rewrite and re-explain rather than trying to game detection.