A technical follow-up to the first Modelith post, covering what shipped since: a self-grading reverse-and-drift trust metric, and Studio, a two-persona git-ops app that turns every model change into a reviewed pull request. Point Modelith at a mature warehouse and the very first drift check runs the reversed model against the warehouse it just came from, so if that check is not clean the tool has already lied; a real end-to-end run on a 77-model drug-discovery warehouse (52 entities, 46 relationships, zero breaking drift) shows it clean, and two real bugs the self-check caught along the way. The other half is collaboration: an architect canvas and an SME glossary onto one repo, a semantic merge engine that diffs the model by meaning and routes each change to the right reviewers, proposals that open a pull request on any git host, plus an IdP seam, an auth write-gate, and an OpenTelemetry audit log. Ends with an open call for design partners, investors, and collaborators.