
Weave helps engineering teams understand where their AI spend is going and, more importantly, whether that spend is actually helping the team ship better.
The Token Intelligence product brings AI usage, cost, engineering output, and ROI into one place.
AI usage is easy to measure.
Understanding whether it's actually worth the money is much harder.
Teams might know how many seats they have, how many tokens they're using, or how much they're spending on tools like Cursor and Claude Code. But those numbers don't really tell you whether the investment is improving engineering output.
The challenge was to make that connection easy to understand.
I focused the experience around the relationship between spend and output.
Instead of presenting Token Intelligence as another analytics dashboard, the page explains what the data actually means and why it matters.
The product visuals do a lot of the explaining — showing subscription costs, usage patterns, AI contribution, cost per merged PR, and the difference between interactive AI tools and autonomous agents.
The final experience presents Token Intelligence as more than an AI usage tracker.
It shows how AI spend connects to actual engineering work, giving teams a clearer picture of where their money is going and whether it's producing meaningful results.
Track the spend. Understand the usage. See what you're actually getting back.