 Syna Kim [LinkedIn](https://www.linkedin.com/in/synakim)  Yuriko Hirota [X](https://twitter.com/yuriko_fuuu) [LinkedIn](https://www.linkedin.com/in/yurikohirota)  Masanari Hamada [LinkedIn](https://www.linkedin.com/in/masanari-hamada)  Shunsuke Uda [LinkedIn](https://www.linkedin.com/in/shunsuke-u)
Published: April 27, 2026
LY Corporation, one of Japan's largest internet service providers, manages a
vast array of web platforms including search, news, and shopping. Maintaining
high performance across these diverse services is critical for user engagement
and business success. However, the team faced challenges in scaling performance
analysis across multiple services.
This case study explores how LY Corporation used Chrome DevTools for agents to
build an automated AI-based performance auditing system. By creating a
programmatic bridge to the browser, they were able to automate data collection,
connect performance metrics to business impact, and empower every development
team to optimize their services effectively.
## The challenge: The bottleneck of manual auditing
Previously, a performance audit at LY Corporation was a highly manual task
requiring specialized expertise. An engineer had to:
1. Manually navigate multiple tools like [CrUX](https://cruxvis.withgoogle.com/#/) or [PageSpeed Insights](https://pagespeed.web.dev/) to gather field data.
2. Run a local instance of Lighthouse traces to collect lab data.
3. Cross-reference performance metrics with separate internal business dashboards.
4. Synthesize all this fragmented data into a single, actionable report.
This process was slow and concentrated critical knowledge within a small group
of specialists, which limited efficiency. This complexity made it difficult to
provide consistent, high-quality performance audits for every service across the
company, often leading to delayed insights and missed optimization
opportunities.
## The solution: Capturing browser performance metrics with Chrome DevTools for agents
LY Corporation built an internal tool that uses Chrome DevTools for agents
as a bridge. This lets their AI agent:
- Extract: Pull real-time network and performance data directly from DevTools such as Largest Contentful Paint (LCP), asset metadata, network request logs or transfer size.
- Interact: Open URLs of targeted services and perform user actions such as click and hold the pointer over to trigger interactive metrics like Interaction to Next Paint (INP) or Cumulative Layout Shift (CLS).
- Analyze: Join this runtime data with historical field data (CrUX) to generate a prioritized issue list.
 Flow of the AI web performance report system using Chrome DevTools for agents, allowing agents to collect performance data, interact with a live page, and analyze the results.
This internal tool lets developers enter a web application URL to generate a
full performance audit on a page, turning expert knowledge into an on-demand
service. The tool operates as a modular, scenario-based analysis tool. It
generates a prioritized improvement list and suggestions to guide developers on
where to start.
 Example of a generated AI web performance report that includes all the performance audits and corresponding results.
## The impact: From manual checks to automated fix suggestions
By offloading the manual effort of data collection and report formatting to an
AI agent using Chrome DevTools for agents, LY Corporation achieved significant
results:
- **Drastic efficiency gains:** This new process reduces manual analysis by *96-98%* and reclaims *8.3 hours* of developer time per month for the central analysis team.
- **Democratization of expertise:** Every product team now can generate high-quality performance reports independently, ensuring a consistent standard of analysis that only experts previously offered.
- **Actionable business insights:** Teams prioritize the most impactful fixes by connecting performance data to business metrics, which facilitates faster approval for projects.
## Future plans
LY Corporation continues to enhance the capabilities of its AI performance
tools. The team is integrating performance improvements with specific business
KPIs to provide detailed insights into user retention and revenue growth.
## Conclusion
While Chrome DevTools for agents is not a standalone solution, it provided
the essential technical foundation for LY Corporation to build its specialized
reporting tool. By using Chrome DevTools for agents, developers can move
beyond manual browser checks and build their own custom tools by gathering live
data directly from the browser runtime.