Bitget, the world’s largest Universal Exchange (UEX), has officially unveiled GetAgent Playbook, a new strategy workflow system integrated directly into its GetAgent and Bitget AI offerings. The launch marks the first public deployment of Agent Harness, Bitget’s proprietary framework for coordinating AI analysis, trade execution, and risk management within structured, repeatable trading processes.
Unlike prevailing industry approaches that center on conversational AI assistants, Bitget’s vision pushes toward workflow automation. CEO Gracy Chen explained, "AI trading is evolving from Q&As into workflows and half the complexity of using AI in trading workflows is configuring the prompt. With GetAgent Playbook, users can simply pick and choose from a library of ready strategies to plug and play, turning trading ideas into something users can run, adapt and build on easily."
The platform arrives after Bitget reported that more than one million users had already completed AI-assisted trades via GetAgent and GetClaw, generating over $1.2 billion in cumulative volume earlier this year. GetAgent Playbook extends these capabilities by letting users browse, configure, and deploy prebuilt strategy workflows rather than relying on manually crafted prompts.
Built on the Agent Harness orchestration layer, the system coordinates multiple AI functions—market analysis, execution, and risk safeguards—within isolated sub-accounts. Bitget emphasized transparency: users can inspect strategy logic, intended market conditions, and risk parameters before activation, and all executed actions are logged and auditable. The new feature will initially be available to GetAgent Plus and Pro subscribers, reinforcing Bitget’s broader push toward an Agent-Native Exchange where AI becomes deeply embedded in financial market interactions.
