Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.
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A company optimized its browser agent, a tool that automates work by navigating websites and filling out forms, by using an AI model to identify inefficiencies in the agent's workflow. The optimization reduced the estimated model cost by 76 times and made the runs 5 times faster, bringing the average cost down to $0.47 per run. This matters because at scale, small inefficiencies add up significantly, and the improvements allow the company to offer customers faster and more capable models while keeping operating costs sustainable. An engineer directed the AI model to investigate, test improvements, and compare results, work that would have taken one to two months by hand but took about a week with the AI's assistance.
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