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title: How Zo Computer improved AI reliability 20x on Vercel
description: Zo Computer, an 8-person personal AI cloud startup, migrated from custom per-provider adapter code to Vercel's AI SDK and AI Gateway. The switch reduced their...
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og:description: Zo Computer, an 8-person personal AI cloud startup, migrated from custom per-provider adapter code to Vercel's AI SDK and AI Gateway. The switch reduced their...
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# How Zo Computer improved AI reliability 20x on Vercel

**[Vercel](https://daily.dev/sources/vercel)** · 6 min read · 2 upvotes · 0 comments

## Summary

Zo Computer, an 8-person personal AI cloud startup, migrated from custom per-provider adapter code to Vercel's AI SDK and AI Gateway. The switch reduced their AI model call retry rate 20x (from 7.5% to 0.34%), raised chat success to 99.93%, cut P99 latency by 38% (131s to 81s), and reduced new model onboarding from an hour-long code change to a 30-second config update. An A/B test run during rollout confirmed Vercel routes outperformed their existing infrastructure even while handling 3.3x larger context windows.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://vercel.com/blog/how-zo-computer-improved-ai-reliability-20x-on-vercel>

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---

Tags: [#ai-gateway](https://daily.dev/tags/ai-gateway), [#ai-sdk](https://daily.dev/tags/ai-sdk), [#vercel](https://daily.dev/tags/vercel)

[View this post on daily.dev](https://daily.dev/posts/how-zo-computer-improved-ai-reliability-20x-on-vercel-ovsqtfcjk)

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