AI-Graded Crypto Reward System for User Feedback
A crypto reward system where user feedback is scored by AI for quality and authenticity, and rewards are paid on-chain — with an adversarial layer to resist gaming and bots.
What Web3 engagement platform was up against
Rewarding community feedback with crypto is a powerful engagement lever — but naive implementations get farmed instantly. The client needed an AI-driven quality scorer that could tell a thoughtful critique from a copy-paste, resist adversarial prompt-style gaming, and settle rewards on-chain transparently. Fairness and auditability mattered: users had to trust that quality, not quantity, got rewarded.
What we built
We built a multi-signal quality evaluator combining LLM-based rubric scoring, embedding-based novelty detection (so duplicate-ish submissions get surfaced), behavioral signals (session patterns, timing, device fingerprint), and a light adversarial classifier for obvious bot outputs. Scores feed a reward curve with diminishing returns. Smart contracts handle payouts on a low-fee chain with batching. Every decision has an audit trail users can appeal, and a human moderator queue handles edge cases.
What shipped
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