# How Zo Computer improved AI reliability 20x on Vercel By Steven Van · 2026-04-17 Moving to Vercel's AI SDK and AI Gateway cut retry rates from 7.5% to 0.34% and trimmed P99 latency by 38%, Vercel says. Zo Computer, a personal AI cloud platform, moved its backend to [Vercel]()'s AI SDK and AI Gateway to replace the custom adapter code it had written for each model provider it supports, including OpenAI, Anthropic, MiniMax, GLM and Fireworks. Vercel [detailed the results]() in a case study. - Retry rate dropped from 7.5% to 0.34%, a 20x improvement, with average attempts per chat reaching 1.00. - Chat success rate rose to 99.93%, up from a 98% baseline. - On MiniMax M2.5, Zo's most-used model, P99 latency fell 38%, from 131 seconds to 81 seconds. - Adding support for a new model now takes about 30 seconds via a config string, down from an hour-long, multi-file code change. By the end of the rollout, 91.88% of Zo's traffic ran through Vercel's routing, handling contexts averaging 42,500 input tokens versus 12,700 on the previous setup, at a lower error rate. [![]()]() ![Vercel]() Vercel The platform for frontend developers — deploy, preview, and scale web apps and AI agents with zero config. [View Vercel →]() Sources [Original source]() [Read How Zo Computer improved AI reliability 20x on Vercel on Creators Toolbox]() --- Canonical source: https://creatorstoolbox.com/blog/vercel-how-zo-computer-improved-ai-reliability-20x-on-vercel