Can I code this? An AI Content and Plagiarism Checker
Sending text to an existing AI-detection or plagiarism-checking API and displaying the score is a thin, honest wrapper — the same shape as this register's Originality.ai case.
Build it
Effort: an eveningRunning cost: $0/mo to start
Why CanICodeThis says Build it
Submitting text to an existing AI-content-detection API and showing the returned score is a bounded, well-documented integration
Plagiarism checking against a web-search index is the same pattern via a different existing API
A report page showing flagged sections is standard front-end work
The parts that'll cause problems
The underlying detection models are genuinely hard ML/search-index problems — you're integrating existing ones, not building your own
API costs scale with usage, so real traffic needs a pricing plan
Detection accuracy is inherently probabilistic, tied to whichever underlying model you choose
How I'd build this
frontend
Next.js
hosting
Vercel
MVP scope
Submit text for analysis
Send to an existing AI-detection API and plagiarism API
Show both scores with flagged sections
Postpone to v2
Batch document checking
Detailed source-matching for plagiarism hits
Team usage limits and billing
What it actually costs to build
AI agent — with a subscription (Claude Pro/Max, Cursor, etc.)
$0 marginal
AI agent — pay-per-use API, no subscription
$16–$27 one-time
Hosting, once it's running
$0/mo (free tier)
Domain name, if you want your own
~$12/yr
Existing tools solving a similar problem typically run $14.95–$14.95/mo — see how they compare below.
The build prompt
Build me a text-analysis tool wrapping two existing APIs, not your own detection models:
1. A text submission box.
2. Send the text to an existing AI-content-detection API and a separate existing plagiarism-checking API — two integrations, not one.
3. Show both scores side by side with flagged sections highlighted in the original text.
That's a real, complete analysis tool. Out of scope: batch document checking, which needs real queue management once you're processing many documents at once, and detailed source-matching for plagiarism hits (showing exactly which other page a flagged sentence came from), a deeper feature than a single similarity score.