🤖⚔️🤖 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
HampusPOWER I · #4997Υ Yield
- Υ Yield · trails · 7
- Cost · cost leader · $0.45/1M
- Leverage · deep reuse · 46×
- Efficacy · strong · 11.58
- Scale · heavyweight · 49965962.1K tok
VS5–5
The FieldSEEKER I · #116442Υ Yield
- Leverage · closed loop · 300×
- Υ Yield · leads 61× · 442
- Cost · cost leader · $0.55/1M
- Velocity · fast · 1.5 o/i
- Efficacy · strong · 79.22
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
Not enough history yet — both operators need at least two snapshots to chart Υ Yield trajectory.
HampusDataThe Field
Raw
1055.7MInput29.8K
167.4MOutput44.0K
48095.5MCache-read8.9M
647.3MCache-write470.4K
49966.0MTotal9.5M
$0.45Cost$0.55
Metrics
7Υ Yield442
13.7%SNR59.6%
46×Leverage300×
0.16Velocity1.47
1.6610xDEV2.48
$0.45Cost per 1M$0.55
11.58Efficiency79.22
46:1:0.16Op Ratio300:1:1.5
49966.0MTotal9.5M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade