The Reincarnation
Dajai.io
The complete catalog
AI Mastering Intelligence
Solana Conejo doesn't just master tracks — she deconstructs them at the molecular level. Every frequency analyzed through spectral decomposition. Every transient shaped by neural pattern recognition. Her approach: reference-match mastering. She listens to the greatest records ever made, extracts their DNA — the spectral curves, the dynamic range, the stereo width — then rebuilds your track to sit in that same sonic space. No presets. No guessing. Pure data-driven alchemy.
16 VST3 plugins. 4-8 selected per track based on what the spectrogram demands. Gain staging between every stage. LUFS normalized to -14.0. True peak capped at -1.5 dBTP. This is how 1,786 tracks get mastered without a single one sounding the same.
Neural Analysis
Each track passes through a 31-band spectral analyzer before a single plugin is loaded. The spectrogram reveals everything: frequency masking, transient density, dynamic range, stereo correlation. Solana reads these like sheet music — they tell her exactly which plugins to deploy and what corrections to make.
Visual documentation
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