Bitget, the world's largest Universal Exchange (UEX), has unveiled GetAgent Playbook, a new strategy workflow system integrated into GetAgent and Bitget AI.
The release is also the first public deployment of Agent Harness, the company's framework for coordinating AI analysis, execution, and risk management within structured trading processes.
The launch reflects Bitget's view that the next phase of AI adoption in trading will focus less on chatbot-style interactions and more on workflow automation that can transform trading ideas into repeatable strategies.
Earlier this year, Bitget reported that more than one million users had completed AI-assisted trades through products including GetAgent and GetClaw, generating over $1.2 billion in cumulative trading volume.
Moving beyond AI conversations
According to Bitget, much of the industry's AI development has centered on assistants that summarize market conditions, answer questions, or perform basic actions.
GetAgent Playbook is designed to go further by allowing users to select and deploy prebuilt strategy workflows rather than relying on manually crafted prompts.
"AI trading is evolving from Q&As into workflows and half the complexity of using AI in trading workflows is configuring the prompt," said Gracy Chen, CEO of Bitget. "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."
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Bitget said users remain in control of all trading activity. Strategies can be browsed, reviewed, configured, subscribed to, launched, and monitored through dedicated interfaces while operating inside isolated, user-authorized sub-accounts.
The company emphasized transparency as a core design principle, allowing users to examine strategy logic, intended market conditions, and risk parameters before activating a workflow.
GetAgent Playbook will initially be available to GetAgent Plus and Pro subscribers.
Behind the new feature is Agent Harness, Bitget's orchestration framework for AI-driven trading operations.
Instead of relying on a single AI model, Agent Harness coordinates multiple functions, including market analysis, trade execution, and risk controls, within predefined workflows. The framework also enforces safeguards around position sizing, execution pathways, and unusual trading activity.
Bitget noted that every action executed through the system is logged and auditable, providing users with greater visibility into how strategies operate.
The launch represents another step in Bitget's broader effort to build what it describes as an Agent-Native Exchange, where AI systems become embedded into the way users access and interact with financial markets.
Since introducing products such as GetAgent, GetClaw, and Agent Hub, the company has steadily expanded its AI ecosystem across traders, developers, and autonomous applications.
According to Bitget, Agent Hub currently supports nine modules and 58 tools spanning Spot trading, Futures, Margin, Copy Trading, Earn products, P2P trading, fund management, and execution services.
U.Today Editorial Team
Dan Burgin
