Harmonize (Train)

Interactive Tuning of Agents Once your blueprint is set, the next movement in our Agent Lifecycle is Harmonize (Train). Think of it as a dress rehearsal, where you get to test, tweak, and refine your orchestrated agent before the big performance. During this phase, you’ll use Orchagent’s interactive training environment to see how your agents handle real-world scenarios—minus the real-world consequences.

Simulation & Back-Testing Within this training environment, you can pit your agent against historical or simulated market data. Imagine you’re building a DeFi arbitrage bot; you can replay past price movements on major DEXs to see how your agent reacts to price gaps. Are your triggers firing too frequently or not enough? Is the agent missing out on profitable windows because of latency? These are the insights you’ll gather, adjusting everything from time delays to threshold rules on the fly.

Fine-Tuning Behavior & Rule Adjustments Training is also where your agents learn your personal “style.” Maybe you’re a cautious trader who hates large drawdowns or an aggressive strategist who wants to seize every fleeting opportunity. By modifying risk parameters, logic triggers, and sub-agent interactions, you’re essentially teaching your orchestration to behave in line with your goals. Spot a sub-agent that isn’t meshing well with the rest of the team? Swap it out or tweak its logic to harmonize with the group. In this stage, mistakes aren’t just acceptable—they’re a vital part of the iterative improvement that ensures your agent is primed for success when it goes live.