What happened
Bitget said on Wednesday it has launched GetAgent Playbook, a new strategy workflow layer that sits inside GetAgent and the broader Bitget AI suite. The exchange described the release in a statement reported by BeInCrypto, framing it as a step away from the prompt-and-response chat model that has defined most AI trading tools on centralized exchanges so far. Instead of a trader typing a question and acting on the reply, Playbook lets users assemble structured workflows that combine market data inputs, reasoning steps, execution logic, and risk parameters into a single reusable strategy.
The launch is also the first time Bitget has put its Agent use framework in front of users. Agent use is the internal architecture the exchange uses to organize how its AI agents reason about a market setup, place orders, and police risk. Until Wednesday it had been an under-the-hood layer.
With Playbook it becomes the product.
Why it matters
Most AI trading features on centralized exchanges still live inside a chat box. You ask the bot what it thinks of ETH funding, you get a paragraph back, and any action is left to you. That model is good for research and bad for execution.
It doesn't scale to multi-leg strategies, doesn't remember context between sessions, and gives the exchange almost no way to enforce position sizing or stop discipline. Bitget's pitch with Playbook is that turning a strategy into a structured workflow, with explicit reasoning, execution, and risk blocks, lets retail traders use AI the way a desk would, repeatably and with guardrails.
It's also a competitive move. Binance, OKX, and Bybit have all shipped AI features over the past year, mostly summarizers and chat copilots. A workflow layer with a risk module is a different product category.