The problem
Where it started
Mixpanel's teams were ready to adopt AI, but output was slow and inconsistent. Without a shared source of truth, each team worked from its own repositories and tooling, often starting from scratch with every artifact, and legacy branding persisted across touchpoints.
The project had two objectives: refine and elevate the brand across every surface while staying true to its foundations, and establish a system beneath it that is simple to maintain and dependable for both people and AI agents.
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The result
What changed
Mixpanel now has a strong foundation to build AI tooling on, and the team is putting the full power of AI production to work. Teams create high-quality, on-brand content independently, at a pace that simply wasn't possible before.