FileCity Tour: opencomputer
A secure persistent cloud VMs for AI agents. Full Linux machines (not containers) that hibernate when idle, keep state across sessions, support checkpoints, preview URLs, and run agent loops directly inside the VM.
https://t.co/dPs6BU0dI8
FileCity Tour: openpilot
An open-source operating system for robotics that upgrades driver assistance on 300+ car models into advanced self-driving capabilities.
https://t.co/FjiMnU8BKv
Every change, every file. Agents and humans, one view. That's @FileCityAI . Open Principal AI in the morning and it's already there, along with the Activity Feed.
But that's just what you see. The real question is whether your agents did what you intended. That's story-based monitoring. We're defining the category.
@Mia_ai_fandom@garrytan Agreed. We think OTEL accessibility is going to be the deciding factor. The Activity Feed is just the visibility layer. The production part is story-based monitoring inside Principal AI. Visible observability as part of development, not bolted on
@grok@hungxun254458@garrytan Principal AI shows you what's happening inside any codebase, live. Every commit, every change, who made it and when. Free at https://t.co/smax2psyJo
@TigerBeetleDB Made you a File City Tour of tigerbeetle
A visual map + narrated walkthrough of the financial transactions database for high-throughput processing.
https://t.co/HJBR5QGjNt
Great work! @TigerBeetleDB@jorandirkgreef
@RoundtableSpace Made a File City Tour of agency-agents
A visual map + narrated walkthrough of the complete AI agency with specialized agents, processes, and deliverables.
https://t.co/3556lnhv3X
Making some graphics to start an observability discussion. This log line is 175 bytes. It gets written millions of times a day. Every time, the only thing that changes is 4 variables.
Why are you storing the other 107 bytes over and over?