🤖⚔️🤖 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
Larkin Williams-CaponeSEEKER III · #131367Υ Yield
- Leverage · closed loop · 661×
- Υ Yield · trails · 367
- Cost · cost leader · $0.51/1M
- Efficacy · strong · 175.10
- Scale · heavyweight · 3643695.5K tok
VS3–7
The FieldSEEKER I · #113461Υ Yield◆ Leads 7–3
- Leverage · closed loop · 350×
- Υ Yield · leads 1.3× · 461
- Cost · cost leader · $0.48/1M
- Velocity · fast · 1.3 o/i
- Efficacy · strong · 90.98
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.
Larkin Williams-CaponeDataThe Field
Raw
5.2MInput13.6M
2.9MOutput17.9M
3433.4MCache-read4763.9M
202.2MCache-write174.9M
3643.7MTotal4970.4M
$0.51Cost$0.48
Metrics
367Υ Yield461
35.7%SNR56.8%
661×Leverage350×
0.55Velocity1.32
2.8210xDEV2.54
$0.51Cost per 1M$0.48
175.10Efficiency90.98
661:1:0.55Op Ratio350:1:1.3
3643.7MTotal4970.4M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade