Replace WasItAIGenerated?

NOT REALLY ยท don't bother
catalog price reference $9.99/mocategory โœ๏ธ ai writingreported replacement votes 0

The interface is a text box; the product is a fine-tuned classifier. Detection quality does not come from a clever prompt. It comes from training a model on a labelled corpus and tuning it until the error rate is low enough to act on, which is months of work against a target that moves every time a new generator ships. Asking a general model "is this AI-written?" produces confident, unreliable answers, and in an academic-integrity setting that means falsely accusing real students. A one-shot build gets you the UI and none of the responsibility.

the prompt
Build the closest honest consolation tool inspired by WasItAIGenerated. Do not claim it detects AI writing.
Use exactly this stack: Next.js 15 + TypeScript + SQLite.
Primary job: paste text, send it to one general language model, and record that model's opinion on how machine-like the writing reads, with its reasoning.
Start from an empty folder and create the complete working project.
Single-user and private by default; store everything locally.
Put every secret in .env and provide .env.example.
Show the result as an opinion with reasoning, never as a score, a percentage or a verdict - the whole point of this build is that it cannot measure what the paid product measures.
Put a permanent, non-dismissable notice in the UI and the README: this is one model's guess, it has no measured error rate, and it must never be used to accuse anyone of anything.
Include clear empty, loading, validation, success and failure states.
Add export so the user is not trapped in the app.
Accessible keyboard navigation, labels, focus states and sensible contrast.
Deliberately exclude these paid-product advantages: a trained classifier, a labelled corpus, a published false-positive rate, image/audio/video detection, per-sentence attribution.
Do not fake accuracy claims, benchmarks or compliance statements.
Write unit tests for the data model and one end-to-end smoke test of the core loop.
Create a README with setup, architecture, data location and an explicit limitations section.
Run the tests and build before finishing, then fix what fails.

$ open in your agent (prompt prefilled, you press enter) or copy it raw

why people still pay

Institutions do not buy a verdict, they buy a defensible one. A university that flags a student needs a documented error rate, an audit trail and a vendor who will stand behind the number. That is a measurement problem, not an interface problem, and it is why every serious buyer in this category asks about false positives before features.

what you lose

xa trained classifier and the labelled corpus behind it

xa measured false-positive rate you can quote to an institution

xdetection for images, audio and video, not just text

xper-sentence highlighting instead of one document-level guess

xretraining as generators change

prior art to inspect before buildingBinocularsZero-shot LLM text detection using perplexity ratios between two models.โ†—DetectGPTCurvature-based zero-shot detection of machine-generated text.โ†—
reported replacements ยท 0share on X โ†—"WasItAIGenerated replacement research and build prompt"
questions
What does the WasItAIGenerated verdict mean?

The directory does not recommend replacing this one from a prompt. The trained classifier and its measured false-positive rate are the product. Read the breakdown above.

What price does this directory record show for WasItAIGenerated?

The directory records $9.99/month for Unlimited Website, checked 2026-08-03. Verify the source before making a purchase decision. This reference stays outside retail Stack Math unless current matched evidence supports the comparison.

What do I lose by replacing WasItAIGenerated?

Honestly: a trained classifier and the labelled corpus behind it; a measured false-positive rate you can quote to an institution; detection for images, audio and video, not just text; per-sentence highlighting instead of one document-level guess; retraining as generators change. If any of those are load-bearing for you, keep paying.

Is there an open-source alternative to WasItAIGenerated?

The listed prior art includes Binoculars (Zero-shot LLM text detection using perplexity ratios between two models.), DetectGPT (Curvature-based zero-shot detection of machine-generated text.). Inspect those projects before starting from a blank prompt.