HYSTON CUT opens AI lyric workflow

The moat here is deliberately not the model; it is the production system that connects replaceable components into a reproducible creative workflow.

• –Needleman–Wunsch alignment makes known lyrics more reliable than raw speech recognition alone
• –Procedural rain, flowers, light, and petals keep rendering local, deterministic, and inexpensive
• –MIT licensing makes the pipeline commercially reusable, including by potential competitors
• –The current Chinese-only recognition model and need for manual correction limit immediate global utility
• –HYSTON’s real test is whether outsiders can install it, reproduce results, and improve the workflow