Bitget Pushes AI Trading Beyond Prompts With New Playbook Layer

Bitget rolled out GetAgent Playbook, a strategy workflow layer that moves its AI trading tools beyond chat-style prompts and toward ready-made strategies users can browse, configure, run and adapt.

Bitget Launches Playbook

Bitget, which calls itself the world's largest Universal Exchange, said GetAgent Playbook sits inside GetAgent and Bitget AI, and marks the first user-facing version of its Agent Harness framework. The system runs inside user-authorized, isolated sub-accounts, with each action logged and auditable.

Earlier this year, the exchange said more than 1 million users completed AI-powered trades through tools such as GetAgent and GetClaw, generating over $1.2 billion in cumulative volume. Playbook is available to GetAgent Plus and Pro users. Users can preview each strategy's logic and risk settings before launch.

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AI Trading Workflows

Setting up the prompt accounts for about half the complexity of using AI in trading workflows, said Gracy Chen, the chief executive of Bitget. "AI trading is evolving from Q&As into workflows," Chen said, describing Playbook as a library of ready strategies that users can plug in, run and build on.

Bitget has widened its AI ecosystem since launching GetAgent, GetClaw and Agent Hub, which now supports 9 modules and 58 tools spanning Spot, Futures, Margin, Copy Trading, Earn and more.

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