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title: Case Study: Cloud to Local-First AI Migration | daily.dev
description: A real-world migration case study of converting an OpenAI-powered document summarization and Q&amp;A app (50,000 MAU) into a fully local-first PWA using WebGPU and...
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# Case Study: Cloud to Local-First AI Migration

**[SitePoint](https://daily.dev/sources/sitepoint)** · 23 min read · 1 upvotes · 0 comments

## Summary

A real-world migration case study of converting an OpenAI-powered document summarization and Q&A app (50,000 MAU) into a fully local-first PWA using WebGPU and the Web-LLM library with Phi-3-mini. The migration eliminated $1,870/month in OpenAI API costs, achieving a 94% reduction in monthly spend ($2,400 → $140). The post covers the three-phase migration strategy (dual-mode fallback → local-primary → full local), implementation details for model loading/caching with service workers, context window chunking via map-reduce, streaming inference, and honest tradeoffs including first-load download size (~1.5 GB), model quality ceiling vs. GPT-4, and WebGPU browser compatibility. Includes production-ready code, unit tests, and verification commands.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.sitepoint.com/case-study-cloud-to-local-ai-pwa/>

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---

Tags: [#javascript](https://daily.dev/tags/javascript), [#local-first](https://daily.dev/tags/local-first), [#webdev](https://daily.dev/tags/webdev), [#webgpu](https://daily.dev/tags/webgpu)

[View this post on daily.dev](https://daily.dev/posts/case-study-cloud-to-local-first-ai-migration-pstctvbdu)

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