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Most of your team's bill is from routine work at frontier prices. We make it easy to start optimizing your AI spend, without changing how your engineers work. If you run engineering at any real scale, you've already had this conversation: someone in finance asks what the AI cost is going to be next quarter, and the honest answer is that nobody knows. When Forbes reported that Uber had spent its entire 2026 AI budget by April , the news made global headlines. They rolled out Claude Code to roughly 5,000 engineers in December and watched agentic adoption climb from about a third of engineers to more than four-fifths inside two months. The CTO reported burning $1,200 in a single two-hour session. Uber’s COO said publicly that the link between that spend and shipped customer value is hard to draw. But something’s been quietly changing: open models are now reliable for the vast majority of real tasks . 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