AI Infrastructure Upgrades

Module — Running Dispatched Agents on a Linux Server for Maximum Execution Efficiency

Four steps. Study a fleet that actually runs, design yours against what your machine has, build it, and dispatch one real task end to end.

Harness

1 · Study a fleet that runs, and measure mine against it

2 · Design my fleet, then stop for approval

3 · Build every file in the manifest

4 · Dispatch one real task, end to end

The four steps

ends with
1Study a fleet that runs, measure mine against itFLEET-GAP.md
2Design mine, then stop for approvalFLEET-DESIGN.md + a manifest
3Build every file in the manifesta running fleet, verifications pasted
4Dispatch one real task, end to endFLEET-VERIFIED.md

Each step names the next. Paste one, run it, paste the next.

What the steps read

  • kit/fleet-architecture.mdtwenty design decisions from a working ~7,000-line runtime, each paired with the failure that produced it
  • kit/dispatch-anatomy.md — the run path, every pre-flight refusal in order, and the ~250-line minimum viable version

Resources

On this page