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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Local LLMs weren't enough, so I use a two-tier system that keeps my sensitive stuff offline

**[XDA Developers](https://daily.dev/sources/xda-developers)** · 4 min read · 0 upvotes · 0 comments

## Summary

Running local LLMs exclusively sacrifices too much performance, while relying solely on cloud AI means surrendering private data. A two-tier hybrid approach solves this: a local model handles all tasks first, extracting only the minimal relevant context needed, and only that distilled information is forwarded to a cloud model when extra capability is required. This keeps sensitive data off external servers while still accessing powerful AI for demanding tasks like coding, writing, and complex reasoning. The workflow also improves data hygiene by default, since the local model summarizes before anything reaches the cloud.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.xda-developers.com/local-llm-falls-back-to-cloud-but-private-stuff-never-leaves-house>

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---

Tags: [#privacy](https://daily.dev/tags/privacy), [#self-hosting](https://daily.dev/tags/self-hosting), [#local-ai](https://daily.dev/tags/local-ai)

[View this post on daily.dev](https://daily.dev/posts/local-llms-weren-t-enough-so-i-use-a-two-tier-system-that-keeps-my-sensitive-stuff-offline-ya6xh1k6u)

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