ROAST-i is an AI music critic with a measuring instrument. Upload a track and declare your creative intent — the genre, the BPM, the emotional arc, the sound you were chasing — and the roaster scores what you actually rendered against what you said you wanted. It does not compliment you. It shows its work: every claim is backed by DSP-measured spectral analysis, timestamped to the exact second of the track where the mix loses clarity, elements collide, or the vocal gets buried.
It is built for AI music makers — Suno, Udio and prompt-driven producers — who are tired of empty praise and want to know, with numbers, why their track isn't landing: which frequencies are fighting, where the energy dips against the intended arc, and what to change in the next render. Artists get a locked intent file, measured lock maps, remix prompts, delta scores that track improvement render over render, and live co-listen rooms where the roast speaks in real time.
ROAST-i is built and operated by Growth pAInz, the artist's own production lab — the same person running the live roast shows on TikTok, where viewers submit tracks and hear Frenzy, the resident roaster, take them apart on stream.