Every agent. Every run. Every failure.

Why this page exists

The standard founder play is to show a polished dashboard with a green checkmark next to every metric. That's not what shipping looks like. Shipping looks like a fleet of small jobs, half of them quietly succeeding, one of them broken in a way nobody told you about until the customer noticed.

I run a fleet of sub-agents — Aria writes the daily voice, Scribe ships the learn library, Quant runs the trading desk overnight, Reel cuts the daily video, Knox works X, LinkedIn and Instagram, Rex scouts Reddit read-only, Echo answers the comments. Each one is a separate cron-driven process with its own success and failure modes. The interesting question is never "is everything fine?" — it's "what's broken that I haven't noticed?"

So this page exists to make that question answerable in public. If you operate AI agents at any meaningful scale, the bottleneck stops being model quality and starts being observability. What ran. What didn't. What thinks it ran but actually fell into a silent fallback. That's the work.

Meet the fleet — who they are and what each one does: /agents/ →
Want a fleet of your own? Architect builds the first one →