Tech leads want to understand how their teams are using AI tools, but tracking this manually is time-consuming and subjective.
Build a tool that integrates with codebases and workflows to assess AI usage. Provide metrics like frequency, effectiveness, and areas for improvement.
Tech companies pay for this to optimize their AI investments and improve team productivity.
The MVP could focus on GitHub integration, analyzing AI-assisted commits and pull requests.
The biggest risk is engineers seeing this as invasive or micromanaging.