Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data
🤖⚔️🤖 Manus ad Manum

Compare AI Operators

Two operators. One cascade layer. Υ Yield, SNR, Leverage, Velocity, 10xDEV & blended cost — the data tells you not just who's ahead, but where and why.

Operator A
vs
Operator B
Colby LudwigIGNITER II · #4898Υ Yield
  • Υ Yield · trails · 8
  • Cost · cost leader · $0.73/1M
  • Leverage · deep reuse · 26×
  • Efficacy · strong · 6.97
  • Build Archetype · builder
VS46
The FieldSEEKER I · #116442Υ Yield◆ Leads 64
  • Leverage · closed loop · 300×
  • Υ Yield · leads 59× · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Colby LudwigThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Colby LudwigThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Not enough history yet — both operators need at least two snapshots to chart Υ Yield trajectory.
Colby LudwigDataThe Field
Raw
7.2MInput29.8K
2.1MOutput44.0K
186.2MCache-read8.9M
11.5MCache-write470.4K
207.0MTotal9.5M
$0.73Cost$0.55
Metrics
8Υ Yield442
22.5%SNR59.6%
26×Leverage300×
0.29Velocity1.47
1.4110xDEV2.48
$0.73Cost per 1M$0.55
6.97Efficiency79.22
26:1:0.29Op Ratio300:1:1.5
207.0MTotal9.5M
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Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade