🤖⚔️🤖 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
vsOperator B
MO§ES™POWER I · #1570Υ Yield◆ Leads 9–1
- Leverage · closed loop · 387×
- Υ Yield · leads 1.2× · 570
- Cost · cost leader · $0.54/1M
- Velocity · fast · 1.5 o/i
- Efficacy · strong · 102.52
VS9–1
The FieldSEEKER I · #0473Υ Yield
- Leverage · closed loop · 351×
- Υ Yield · trails · 473
- Cost · cost leader · $0.48/1M
- Velocity · fast · 1.3 o/i
- Efficacy · strong · 91.21
Raw shape↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shape↑ higher is better · ↓ lower is better (cost) — both reach outward when good
MO§ES™DataThe Field
Raw
122.0MInput12.7M
179.4MOutput17.1M
47266.1MCache-read4447.3M
2580.8MCache-write164.6M
50148.3MTotal4641.7M
$0.54Cost$0.48
Metrics
570Υ Yield473
59.5%SNR57.4%
387×Leverage351×
1.47Velocity1.35
2.5910xDEV2.54
$0.54Cost per 1M$0.48
102.52Efficiency91.21
387:1:1.5Op Ratio351:1:1.3
50148.3MTotal4641.7M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade