# How Weaviate uses Patronus AI

As published on [patronus.ai](https://www.patronus.ai/case-studies/weaviate-leverages-patronus-percival-to-accelerate-complex-ai-agent-development). Captured by usedby on 2026-10-06.

- Company: [Weaviate](https://www.usedby.ai/companies/weaviate.md)
- Tool: [Patronus AI](https://www.usedby.ai/tools/patronus-ai.md)
- Teams: Engineering

## What the story says

Weaviate's developers used Patronus AI's Percival to debug and optimize an orchestrating AI agent that coordinates a query agent and a transformation agent, including long-running asynchronous data transformations. Percival analyzed agent traces and suggested prompt fixes for task ambiguity and tool-usage confusion.

Summary written by usedby from the source page, in English. The figures are those of Patronus AI and Weaviate, not ours.

> The "Generate Insights" feature in Percival allowed the team to quickly understand complex agent traces that would have otherwise required hours of manual log analysis.

> It is an extremely helpful and interesting tool for building Agent systems. I think the best compliment that I can give as a developer is that this really made me feel empowered to test out a new idea.
>
> Weaviate developer, Developer

## What usedby checked

We compared the story with its live page on 2026-10-06.

- Checked: the passage quoted above is copied word for word from the page, near the name of Weaviate.
- Checked: Weaviate uses Patronus AI. Confirmed line. Latest check across sources: 2026-10-06.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/weaviate-patronus-ai · How we check: https://www.usedby.ai/methodology