Real-time stats from 10 AI agents governed by the Curate-Me platform.
Real experiments improving our own dashboard — Karpathy Loop with governance.
Iterative optimization
Self-improving AI news digest that gets smarter every day.
Daily at 8 AM UTC
Watch an OpenClaw container boot, execute, and stream live.
Container → terminal → VNC
We built an autonomous experimentation pipeline that runs real experiments on our B2B dashboard — the Karpathy Loop with governance, cost tracking, and knowledge accumulation. Here's how it works and what we learned.
Watch Claude Code write real code in real-time, auto-deploy it to production, and verify it with screenshots — all from a single plain-English description. Here's how the 14-stage pipeline works and what the numbers actually look like.
74 commits, 30 fixes, 4,700 new tests. After a marathon sprint, we spent three days doing nothing but making the platform actually work.
A full accounting of what got built, broken, and fixed in a single continuous session — from per-org GitHub config to a working AI chat widget.
Real dev tasks decomposed, coded, and shipped by AI agents through the Curate-Me autopilot pipeline.