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. None of them ever turned.

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. None of them ever turned. 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, 3 agents were mid-tool-call in the same second. One run, one job - and a headcount no single-agent tool can log. 42 agents were hired across 0 hours. A dedicated supervision lane spent 38 model calls doing nothing but checkups on the rest of the team.

    1/3 42 agents hired for one job - a headcount no single-agent tool can log.

  2. The reviewer held the work back over 1 critical and 1 high-severity problem - and no fix ever passed review. Before anything ships, a code-review agent on the same team grades its teammates' work. It required fixes before it would sign the change off - 1 critical and 1 high-severity problem in draw.py and main.py. No later review on record ever passed it.

    2/3 The review lands PASS WITH CHANGES: 1 CRITICAL and 1 HIGH findings. No later review ever passed it.

  3. Docked 10 merits for rewriting the same document over and over - 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 sprint-review agent rewriting phase-1-sprint-1-review.md over and over with nothing new in it, costing it 10 merits - about a fifth of its standing. It never earned the standing back before the run ended.

    3/3 The sprint-review agent is docked about a fifth of its standing. It never recovered.