I’m working on an API that provides heuristic signals about whether a piece of text is likely LLM-generated.

The system uses an ensemble of techniques, and on my internal evaluation set (details below) it achieves ~99.8% accuracy. I’m fully aware that general-purpose AI text detection is hard and adversarial, so this is meant as a probabilistic signal rather than a definitive classifier.

There’s a simple demo site: https://checktica.com

And public API docs (no API keys required): https://api.checktica.com/v1/docs

I’d really appreciate critical feedback, especially on:

- Failure modes you’ve seen in similar systems

- Whether this framing makes sense at all

- Where such a tool might actually be useful (or useless)

Happy to answer technical questions.