STILL：少一點雜音，多一點平靜——以 Gemma 3 打造本地優先 AI 助手
STILL: Less Noise, More Stillness | Building a Local-First AI Assistant with Gemma 3
STILL 是以 Gemma 3 打造的本地優先 AI 助手，可整理凌亂筆記、未完成事項和會議摘要，分為 Act、Keep、Rest 和 Archive 四類。Gemma 3 透過 Ollama 在本地執行，分析筆記、辨識潛在優先事項、找出重疊資訊，並建議哪些事項可以稍後處理。里程碑式的本地推理讓用戶更能掌控個人資料，亦減少依賴付費的專有 AI API。
Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady
What I Built
Meet STILL, a local-first AI assistant that helps you declutter your digital life.
Feed it messy notes, unfinished tasks, or meeting summaries, and let AI organize them into four categories: Act, Keep, Rest, and Archive.
The goal? Spend less time organizing your thoughts and more time on what actually matters.
Demo
Code
How I Built It
Built with Next.js, TypeScript, Bun, Tailwind CSS, and GSAP, with Gemma 3 running through Ollama for local AI inference.
Gemma 3 analyzes notes, identifies potential priorities, detects overlapping information, and suggests what can wait.
Why Does Open Innovation Matter?
Personal notes can contain sensitive thoughts and unfinished work. Running Gemma 3 locally gives users more control over their data and reduces dependence on paid, proprietary AI APIs.
Open-weight models also let developers experiment with model configurations and build AI tools on their own terms.
The Lazy Payoff
Instead of manually sorting every unfinished thought, let STILL help you find the few things worth your attention.
Not another AI that gives you more work. An AI that helps you do less.
Built for Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady.
來源：DEV Community · dev.to