🤖⚔️🤖 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
lilmgeniusSEEKER II · #4798Υ Yield
- Υ Yield · trails · 8
- Cost · cost leader · $0.62/1M
- Leverage · deep reuse · 41×
- Efficacy · strong · 11.00
- Scale · heavyweight · 4889860.3K tok
VS4–6
The FieldSEEKER I · #116442Υ Yield◆ Leads 6–4
- Leverage · closed loop · 300×
- Υ Yield · leads 53× · 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.
lilmgeniusDataThe Field
Raw
108.7MInput29.8K
22.0MOutput44.0K
4480.9MCache-read8.9M
278.2MCache-write470.4K
4889.9MTotal9.5M
$0.62Cost$0.55
Metrics
8Υ Yield442
16.9%SNR59.6%
41×Leverage300×
0.20Velocity1.47
1.6210xDEV2.48
$0.62Cost per 1M$0.55
11.00Efficiency79.22
41:1:0.20Op Ratio300:1:1.5
4889.9MTotal9.5M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade