PauseDock: let a local model keep your place while you rest

说明与用途

PauseDock 通过本地 LLM 对短笔记进行分类，生成可在浏览器中保存并在清除会话后恢复的返回卡片，帮助用户快速暂停工作。

问题

Users switching between small projects need a lightweight way to pause work without carrying the whole task in their head.

结果

PauseDock successfully transforms 16 synthetic notes into a structured card in 3–5 s, with 100 % deterministic checks passed. The card survives session clears when explicitly saved.

工作流

• 1. User pastes a few scratch notes into the web interface.
• 2. Each line is assigned an ID (e.g., N1, N2).
• 3. The local model classifies each ID as unfinished, waiting, finished, or context and selects one unfinished note as the return point.
• 4. The app validates the JSON output for completeness, uniqueness, and correct references.
• 5. The original wording is displayed in a card; the user can correct and explicitly save it in the browser.
• 6. The session can be cleared and the card reopened, restoring the chosen note and its reference.

证据

PauseDock is a small place to leave unfinished work before a break. Paste a few scratch notes, click once, and get a return card: one note to start with, what is already finished, what depends on something else, and the context worth keeping.

来源

The inference path is intentionally short: 1. Give each input line an ID, such as N1 or N2. 2. Ask the local model to classify every ID as unfinished, waiting, finished or context, and select an unfinished return note.

来源

The application was started in an empty directory on 24 October 2026. It is a new project for this challenge. Qwen2.5 and Ollama are existing dependencies, credited in the README; their weights and runtime are not claimed as new work.

来源

Three small synthetic development examples contain 16 notes. After the prompt clarification, the model matched all 16 editorial labels; the keyword baseline matched 13.

来源

The browser flow confirmed choosing a return step, saving it, clearing the session and reopening it with its notes and selected reference intact.

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