TRAINING THROUGH THE NIGHT

Last night we verified the one thing that matters most in real-world AI workflows: continuity.

The ambient RAVE run stayed active, wrote fresh checkpoints, and kept moving without guesswork about where data was going.

We also hardened the foundation behind the scenes. Tags are now normalized through a canonical schema, metadata writes are validated, and legacy records can be normalized in one pass. That means cleaner search, fewer silent data drifts, and safer automation as the library grows.

To make this operational, not theoretical, schema controls now live in the Asset Browser. You can run normalization directly, see health counts, and verify state immediately. No hidden debt, no blind spots, no mystery behavior.

Small steps. Verifiable systems. Compounding momentum.