Security and privacy decision
wasitaigenerated
A competent developer can build a useful text-only AI-detection replacement in about a week, but reproducing the vendor's full multimodal coverage, claimed accuracy, and enterprise features is not realistic without larger engineering and data investments.
Visit website↗Built by Patrick Gerard, who ships 6 products in this index
$9.99/mo
$120/yr
Read off the official pricing page.
$50one-off20 h to build
$50/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 6 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Accept text, run an AI-detection model/classifier, return JSON with isAI/confidence/patterns, log usage and deduct credits.
What it still won’t have
- Image, audio and video detection (multimodal)
- Cryptographic 'verified' content-credential checks
- Bulk/enterprise processing optimizations and SLAs
- Pretrained proprietary models and claimed accuracy benchmarks
- Built-in analytics/dashboard parity
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 6 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal text-only AI-content detection service using FastAPI + Uvicorn, PostgreSQL (or SQLite for single-user), and Hugging Face transformers (or an external LLM classifier) for inference. Core features: POST /v1/detect/text that accepts {content}, authenticates via Bearer API key, returns JSON {isAI, confidence, patterns, sentences[]}, per-word credit accounting, request logging, basic admin UI to view usage, and automated tests for endpoints and billing. Out of scope: image/audio/video detection, cryptographic verification, enterprise clustering. Deploy as a Docker container to a single small VPS (or Heroku) with HTTPS, include error handling, input validation, and CI that runs tests.How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score60
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 2
Every page the run actually retrieved.
- official productWasIt AIGenerated — homepage
- official docsWasIt AIGenerated — docs
Integrity checks
What held up, and what did not.
