FAVUR

1 rejected review, 1 penalty and 1 scale readout

auto-assembled · drafted mechanically from this run's detected moments

Auto-assembled from the 3 sharpest detected moments of this run. 1 of 3 turned; the rest never did.

Or grab the whole reel as one image: composite.png · or as a looping animation: reel.webp

Animated reel: 1 rejected review, 1 penalty and 1 scale readout. Auto-assembled from the 3 sharpest detected moments of this run. 1 of 3 turned; the rest never did. 3 moment cards with source code and transcript excerpts from the run telemetry.
The animated reel - the cards plus source code and transcript excerpts from the run telemetry. The full-size cards follow below.
  1. At peak, 2 agents were mid-tool-call in the same second. One run, one job - and a headcount no single-agent tool can log. 172 agents were hired across 3 hours. A dedicated supervision lane spent 276 model calls doing nothing but checkups on the rest of the team.

    1/3 172 agents hired for one job - a headcount no single-agent tool can log.

  2. Docked 10 merits for a delegation missing tool access - and never earned them back. Favur's orchestrator runs periodic checkups on every agent on the team, awarding merits for good work and demerits for bad habits. A checkup caught the develop agent handing work to a child agent without the tool access the job needed, costing it 10 merits - about a fifth of its standing. It never earned the standing back before the run ended.

    2/3 The develop agent is docked about a fifth of its standing for a delegation missing tool access. It never recovered.

  3. The reviewer failed the code over 5 critical and 2 high-severity problems - 1 edit later it passed. Before anything ships, a code-review agent on the same team grades its teammates' work. It refused to pass the change - 5 critical and 2 high-severity problems in main.py. The team fixed it: 1 edit later, the review passed it.

    3/3 The review lands FAIL: 5 CRITICAL and 2 HIGH findings. 1 edit later it passes.