Bitget Advances AI Trading Infrastructure With GetAgent Playbook, Shifting Crypto Automation From Prompts To Structured Workflows

Cryptocurrency exchange Bitget has officially introduced GetAgent Playbook, a new strategy workflow layer integrated into GetAgent and Bitget AI that aims to expand AI-powered trading beyond traditional conversational tools. The launch represents the first public implementation of Agent Harness, Bitget’s framework designed to structure AI decision-making, execution processes, and risk management into organized trading workflows.

While recent developments in the sector have largely focused on AI assistants capable of market analysis, answering user queries, and performing basic trading-related actions, Bitget is positioning the next phase of AI adoption around workflow automation and strategy coordination rather than relying solely on larger AI models. Earlier this year, the company reported that more than 1 million users had completed AI-assisted trades through platforms including GetAgent and GetClaw, generating over $1.2 billion in cumulative trading volume.

“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 in a written statement. “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,” she added. 

From AI Assistance to Automated Trading Workflows

The new system is designed to maintain user control throughout the trading process. Users can explore available Playbooks, review their structure, adjust settings, subscribe to strategies, launch them, and monitor performance through user-authorized isolated sub-accounts. Bitget said the platform emphasizes transparency by allowing users to examine strategy logic, market compatibility, and risk parameters before activation. Access to Playbook will initially be available for GetAgent Plus and Pro users.

The underlying technology behind the platform is Agent Harness, which serves as the operational framework for GetAgent Playbook. Instead of depending on a single AI model, the system coordinates different functions, including market analysis, execution decisions, and risk management procedures. The framework also introduces controls designed to manage execution limits, position sizing, and irregular market conditions, while maintaining records of all actions for review and auditing purposes.

As part of Bitget’s Universal Exchange strategy, GetAgent Playbook expands AI functionality from market interpretation toward automated strategy infrastructure. The company said the development supports its broader vision of an Agent-Native Exchange, where intelligent systems become integrated into the way users interact with and access financial markets.

Since introducing GetAgent, GetClaw, and Agent Hub, Bitget has continued expanding its AI ecosystem across traders, developers, and autonomous systems. The company stated that Agent Hub currently includes nine modules and 58 tools covering areas such as Spot trading, Futures, Margin, Copy Trading, Earn products, P2P trading, fund management, and execution-related services.

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