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title: I trusted Antigravity and a local LLM with the same...
description: A hands-on comparison pits Google's Antigravity agentic tool (running Claude Sonnet 4.6 Thinking) against a locally hosted Qwen 3.5 9B model on file-based...
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# I trusted Antigravity and a local LLM with the same office tasks, and only one respected my files

**[XDA Developers](https://daily.dev/sources/xda-developers)** · 4 min read · 1 upvotes · 0 comments

## Summary

A hands-on comparison pits Google's Antigravity agentic tool (running Claude Sonnet 4.6 Thinking) against a locally hosted Qwen 3.5 9B model on file-based office tasks in a personal knowledge management vault. Rather than judging raw capability, the test focuses on how each tool behaves once given file access - whether it reads existing structure, naming conventions, and formatting before acting. Both completed single- and multi-step tasks, including synthesizing notes and filing them into the correct MOC index, but Antigravity consistently read surrounding context before writing, while the local model made more inference leaps, occasionally mislabeling notes and defaulting to the vault root when uncertain. The verdict: Antigravity showed more consistent respect for existing files, though the local model showed a flash of context-awareness by recognizing a change had already been made.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.xda-developers.com/trusted-antigravity-and-local-llm-with-same-office-tasks-only-one-respected-my-files>

## Questions this post answers

### How does Google's Antigravity agentic tool compare to a local LLM for organizing personal notes and files?

Antigravity, run with Claude Sonnet 4.6 Thinking, consistently read surrounding file context before writing, matched existing naming conventions and formatting, and correctly positioned new content within existing structure. A local Qwen 3.5 9B Q4_K_M model also completed the tasks but made more inference leaps, sometimes misclassified notes, and defaulted to writing at the vault root when uncertain about placement.

_Anyone weighing agentic tools against local models for file-sensitive work can track these comparisons on daily.dev._

### Can a local LLM like Qwen 3.5 9B handle agentic file organization tasks reliably?

Yes, Qwen 3.5 9B Q4_K_M completed multi-step file organization tasks including finding the correct folder and matching naming conventions, though with more inference leaps than a cloud-based alternative. It initially misclassified existing notes as orphans before correcting itself, and it recognized when a file had already been updated and avoided redundant changes.

_Developers evaluating local LLMs for agentic tasks can follow tool-calling comparisons like this on daily.dev._

## Similar posts on daily.dev

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- [I gave Claude Code, Antigravity, and my local LLM the same coding project, and only one of them understood the assignment](https://daily.dev/posts/i-gave-claude-code-antigravity-and-my-local-llm-the-same-coding-project-and-only-one-of-them-unde-hkdu0ptjl) · XDA Developers · 1 upvotes · 0 comments
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---

Tags: [#agentic-ai](https://daily.dev/tags/agentic-ai), [#local-ai](https://daily.dev/tags/local-ai), [#qwen](https://daily.dev/tags/qwen)

[View this post on daily.dev](https://daily.dev/posts/i-trusted-antigravity-and-a-local-llm-with-the-same-office-tasks-and-only-one-respected-my-files-ulmz6fxdq)

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