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DoorDash launches AI command line tool dd-cli, which can order food directly through smart assistant DoorDash launches AI command line tool DoorDash CLI (dd-cli) limited beta version, allowing developers to directly complete takeout ordering through AI smart assistant, including searching for merchants, finding offers and completing checkout.
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Source: Telegram AI频道
DoorDash launches the AI command line tool dd-cli, which can order food directly through the smart assistant. DoorDash launches the AI command line tool DoorDash CLI (dd-cli), a limited beta version, which allows developers to directly complete takeout orders through the AI smart assistant, including searching for merchants, finding offers, and completing checkout. The tool is currently available to macOS developers in the United States and Canada through a waitlist. DoorDash co-founder and chief technology officer Andy Fang announced the new feature on the X platform. Although command line tools are usually associated with software development scenarios, and using them for ordering food may seem like "programmer humor," the DoorDash CLI actually represents an exploratory model of Agentic Commerce. By opening up the ability to order food, DoorDash hopes to allow AI agents to call its service interface. Developers do not need to enter the DoorDash application, but can also integrate functions such as food ordering, grocery shopping, and local discount inquiries into their own software, smart assistants, or other services. In the future, AI agents may become a new portal connecting consumers and business services. Previously, DoorDash has provided food ordering services through iMessage and launched the AI chatbot "Ask DoorDash". At the same time, it has opened related capabilities to third-party AI assistants such as OpenAI, ChatGPT, and Claude, and continues to lay out the AI-driven consumer service ecosystem. This dd-cli test also shows how the AI agent is used in actual tasks. In the demonstration video, the AI assistant reads Slack information, parses JSON data, checks the menu structure, runs Python scripts, adjusts operations based on error feedback, and finally completes multiple salad orders. Although the process is far more complicated than ordinary ordering, what lies behind it is the development direction of AI agents autonomously calling tools and executing tasks. As AI assistants gradually move from information interaction to task execution, companies such as DoorDash are trying to directly connect commercial service capabilities to the AI ecosystem, promoting the transformation of consumption scenarios from "users actively operating applications" to "AI agent services". via AI News (author: AI Base)