generate-report

To aggregate WebBench results into a markdown report, run the Node.js script to parse web-bench-results.jsonl and compile metrics into web-bench-report.md for stakeholder review.

When aggregating web-bench-results.jsonl files, the statistics computed include pass/fail rates, timing metrics, and token usage across all benchmark results, broken down per-category and per-website.

Yes, you need Node.js to run the script that processes web-bench-results.jsonl and generates the web-bench-report.md output file.

Yes, you can break down WebBench benchmark metrics by category and website using a predefined template to produce a human-readable markdown report for identifying performance bottlenecks.

The best way to generate a summary report from JSONL benchmark data is using a Node.js script to parse web-bench-results.jsonl and compile timing and token usage metrics into a structured markdown file.

You should aggregate WebBench results instead of reviewing raw JSONL data to compute pass/fail statistics and timing metrics, providing actionable insights and identifying performance trends over time.