🤖⚔️🤖 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
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
VS2–8
Kabir AcharyaBASE II · #197820.2KΥ Yield◆ Leads 8–2
- Leverage · closed loop · 178.8K×
- Υ Yield · leads 206.8K× · 97820.2K
- Cost · cost leader · $0.39/1M
- Velocity · fast · 547.2 o/i
- Efficacy · strong · 45494.61
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
The FieldDataKabir Acharya
Raw
12.7MInput58.8K
17.1MOutput32.2M
4447.3MCache-read10502.3M
164.6MCache-write157.4M
4641.7MTotal10691.8M
$0.48Cost$0.39
Metrics
473Υ Yield97820.2K
57.4%SNR99.8%
351×Leverage178.8K×
1.35Velocity547.2
2.5410xDEV5.25
$0.48Cost per 1M$0.39
91.21Efficiency45494.61
351:1:1.3Op Ratio178753:1:547.2
4641.7MTotal10691.8M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade