Every user who identifies AI-generated text creates a human-labeled detection example. Collect thousands per day. Train a detector that actually works.
"my dog kept waking me up at 3am so I finally just got up and we watched TV together, he seemed very pleased with himself"
"As the dawn broke over the horizon, painting the sky in hues of amber and rose, I contemplated the profound mysteries of existence..."
Users pick the human text. Their choice + reasoning time = a labeled training pair. At scale, you have a dataset that can train a world-class AI content detector.
Human judgment is the ground truth for AI detection. No synthetic labels — real humans deciding in real time.
As AI-generated content floods the internet, AI detection is one of the fastest-growing needs in enterprise and media.
Preference pairs (human preferred over AI) are exactly the format needed for RLHF fine-tuning — the most powerful training signal.
AI writing styles evolve. Your dataset updates daily as users interact with your site — always current, never stale.