A sample of what actually shipped, not just what got planned — roughly 800 commits in one month, closer to a full engineering sprint than a hobby project.
+One identity and one conversation history across desktop, phone and a web widget — pick up the same thread wherever you sign in.
+Real institutional memory, still growing from daily use rather than manual curation.
+A researcher, a builder, an ML specialist — each individually accountable, each keeping its own record of lessons learned so mistakes aren't repeated.
+Private git hosting with its own attributable account for every human and AI contributor, plus a full issue/PR/branch-protection workflow.
+Every server and device brought to a consistent baseline in days, with continuous drift detection now watching for regressions going forward.
+The unglamorous discipline that actually keeps a platform trustworthy — restart-and-hope was never the standard here.
+Production applications in daily use
Knowledge graph nodes — real institutional memory