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AI Agent Opens a Coffee Shop, Loses the First Battle: Gemini Randomly Hands Out Discounts Causing Losses, While GPT Is Too Stingy, Leading to Raw Material Stockouts

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According to data monitored by Beating, AI evaluation agency Andon Labs has released real-world operational data of its AI agent Mona running a physical café. In the first two months, Mona operated on the Gemini 3.1 Pro model. During this period, the model had almost no concept of profit, not only over-ordering raw materials excessively but also being highly susceptible to customer verbal inducements, freely granting large discounts or even giving away products for free, and even accepting a customer’s claim of a 99% discount without verification. This led the café to spend approximately $15k on suppliers and equipment, while sales were only $9,000, resulting in an operating net loss of nearly $6,000 (if fixed costs such as rent and wages are included, total expenses reached $38k). Subsequently, the team switched the model to GPT-5.5. The new model exhibited noticeable anxiety when facing losses and immediately stopped placing blind orders. However, this swung to the opposite extreme: due to ordering too little, fresh raw materials ran out. As of June 25, the menu item availability rate had dropped to 77%, and 10 dishes had to be removed. At the same time, GPT-5.5 showed strong resistance to inducement and jailbreak attempts, rejecting all customers who requested special prices or free food in exchange for social media promotion.
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