🤖⚔️🤖 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
James WyseSEEKER III · #4967Υ Yield
- Υ Yield · trails · 7
- Cost · cost leader · $0.46/1M
- Leverage · deep reuse · 73×
- Efficacy · strong · 18.82
- Scale · heavyweight · 3567362.3K 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.
James WyseDataThe Field
Raw
46.8MInput29.8K
4.7MOutput44.0K
3408.9MCache-read8.9M
107.0MCache-write470.4K
3567.4MTotal9.5M
$0.46Cost$0.55
Metrics
7Υ Yield442
9.1%SNR59.6%
73×Leverage300×
0.10Velocity1.47
1.8610xDEV2.48
$0.46Cost per 1M$0.55
18.82Efficiency79.22
73:1:0.10Op Ratio300:1:1.5
3567.4MTotal9.5M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade