⚡ Interactive Demo — This is a simplified preview of the Dunbar Calibration™ running entirely in your browser. The production engine uses multi-layer spectral forensics, machine-learning classifiers trained on 2 million+ stems, and cross-referencing against known AI model fingerprints to deliver significantly higher accuracy and deeper analysis.
Drop your audio file here or click to browse. Supports MP3, WAV, FLAC, AIFF, OGG, and M4A formats up to 50MB.
Micro-timing signatures vs robotic quantization. Human performers create subtle timing variations that AI cannot replicate naturally.
Organic patterns vs linear AI sweeps. Human automation creates natural curves and imperfections that distinguish authentic performance.
Identifies generative AI artifacts. Advanced spectral analysis reveals the telltale signatures of artificial audio generation.
KRONYQL doesn't ban trace AI assistance — it taxes it at 5× the rate. Every 1% of AI detected costs you 5% of your revenue. At 20% AI or above, your file is rejected outright — you'd have earned $0 anyway.
Formula: AI% × 5 = Tax% · 1% AI = 5% tax · 10% AI = 50% tax · ≥20% AI = rejected
Files at or above 20% AI are rejected at upload — you would have made $0 from that upload anyway and polluted our ecosystem. No appeals. No exceptions.
Every 1% of AI detected costs 5% of your revenue. At just 10% AI, half your earnings are gone. There is zero financial incentive to use AI — it destroys your profits, your verified status, and your rank.
AI Tax revenue generates platform credits that subsidize AI agent access (Dunbar, Scout, Barrister) for all artists.