OpenAI
2026年9月14日
Perplexity 使用 Astra 撰写通讯内容、变更软件并监控生产系统，且检查频率远低于使用早期模型时。
公司规模：初创公司
地区：北美
行业：科技
产品：API
作为一款人工智能驱动的答案引擎，Perplexity 深度专注于搜索与准确性。其处理大量信息的能力至关重要。联合创始人兼首席战略官 Johnny Ho 观察到，每当模型在编写代码方面变得更强，Perplexity 的搜索引擎也会随之改进。它能够编写更好的程序，用于搜索网络和内部信息，并将其非常简洁地总结出来。
但据 Johnny 所说，真正的挑战在于将这些信息层面的能力应用到现实世界的系统中。而借助 GPT‑6 Astra，这件事变得更容易了。
“我们可以让模型撰写通讯内容、编辑现实世界的系统，并以先前几代模型无法做到的方式监控我们的生产软件。”
——Johnny Ho，Perplexity 联合创始人兼首席战略官
让模型来做测试
对 Johnny 而言，人工智能最有用的应用之一就是测试代码。由于手动测试的时间有限，他会让 GPT‑6 Astra 围绕某个应用程序构建一个小型测试程序。
该模型会生成逼真的响应，就像另一项服务会发送的那样，例如语言模型 API 或连接器。通过代替这些服务，模型可以检查应用程序如何响应，并从头到尾测试整个工作流程。
“我们实际上能够将完整的端到端系统托付给它，并且检查它的频率远低于前几代模型。”
——Johnny Ho，Perplexity 联合创始人兼首席战略官
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OpenAI
September 14, 2026
Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.
Company size: Startup
Region: North America
Industry: Technology
Products: API
As an AI-powered answer engine, Perplexity is deeply focused on search and accuracy. Its ability to process large amounts of information is critically important. Johnny Ho, Cofounder and Chief Strategy Officer, observes that every time the model gets better at writing code, Perplexity’s search engine improves too. It becomes able to write better programs that search the web and internal information and summarize it very concisely.
But the real challenge, according to Johnny, is taking those informational aspects and applying them to real-world systems. Something made easier with GPT‑6 Astra.
“We can have the model craft communications, edit real-world systems, and monitor our production software in a way that previous generations were not able to.”
—Johnny Ho, Cofounder and Chief Strategy Officer, Perplexity
Letting the model do the testing
For Johnny, one of the most useful applications of AI is testing code. With limited time to test manually, he asks GPT‑6 Astra to build a small testing program around an application.
The model generates realistic responses like those another service would send, for example, a language model API or a connector. By standing in for those services, the model can check how the application responds and test the workflow from start to finish.
“We’re actually able to trust it with full end-to-end systems and check in on it much less frequently than previous generations of models.”
—Johnny Ho, Cofounder and Chief Strategy Officer, Perplexity
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