Philip Arkcoll works on making work actually work better. At Worklytics, he combines data, technology, and a deep interest in organizational behavior to help companies see how their teams collaborate—and where they can improve. His focus is on turning workplace data into practical insight that drives more effective, healthier ways of working.
Learn how to measure Claude Code productivity gains with adoption, proficiency, and hours-saved metrics, plus benchmarks engineering leaders can act on.
Most AI adoption happens quietly. Here's how to see which tasks your employees are actually automating, and what that data tells you about workflow gaps.
How to track OpenAI Codex adoption, usage, and spend - what the native analytics dashboard, Analytics API, and Compliance API cover, and how to see Codex alongside Claude Code, Cursor, and Copilot.
How to track Claude Code usage in 2026: the analytics dashboard, contribution metrics and PR attribution, token costs via the API and OpenTelemetry, and what admins can and can't see.
AI isn't just challenging how employees work. It's challenging how organizations operate. Many companies are about to discover that the hardest part of AI adoption isn’t generating more output; it’s building organizations capable of handling it.
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