Perplexity trusts GPT-6 Astra with end-to-end systems
Perplexity uses OpenAI's GPT-6 Astra to craft communications, edit production systems, and generate end-to-end automated tests for its search engine.
OpenAI published a customer case study describing how Perplexity, the AI-powered answer engine, uses the GPT-6 Astra model via API. Cofounder and Chief Strategy Officer Johnny Ho says the model can now craft communications, edit real-world systems, and monitor production software in ways earlier generations could not. Perplexity also asks Astra to build small test programs that stand in for external services, such as language model APIs and connectors, to verify applications end to end. Ho claims the team checks on the model's work much less frequently than with previous models.
- Perplexity runs GPT-6 Astra against production systems, communications, and search code improvements.
- Better code generation directly improves Perplexity's web and internal information search summarization.
- Astra generates mock service responses to test application workflows from start to finish.
- Company says it can trust the model with full end-to-end systems with less supervision.
Full article272 words · extracted from openai.com · click to collapse
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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Text extracted automatically; images, tables and formatting may be missing. Original: https://openai.com/index/perplexity-improving-accuracy-with-astra