50-agent trading system uses Jev 1.13 for the final decision
The author compresses signals from 49 micro-agents into a unified state, hands it to Jev 1.13 for a bounded buy/sell/hold choice, then passes it through a risk gate.
I FORCED 50 AI AGENTS INTO A SINGLE DECISION LOOP. HERE IS HOW THE PIPELINE ACTUALLY WORKS. Everyone tries to scale trading bots by adding more prompts. What you actually get is latency, duplicated signals, and model paralysis. To make 50 agents trade coherently, you have to treat the desk as a closed-loop inference machine: 1. INGEST: 49 micro-agents capture order book imbalances, spreads, and regime shifts. 2. DISPUTE: Conflicting inputs are mapped and scored instead of hidden. 3. SYNTHESIZE: Agent #50 strips the noise and builds one unified state payload. 4. INFERENCE: Jev 1.13 evaluates the compressed state to deliver a bounded choice. 5. GATE: Hard risk checks verify spread and liquidity before capital is unlocked. If you don’t engineer the handoff between agents, you don’t have a multi-agent system. You just have chaos with API keys. I documented the full state builder and execution gate architecture in the article below.