Sloth Inbox: local AI that gives you fewer things to do

Description and use

Sloth Inbox is a local AI assistant that processes text files, generates concise summaries, proposes categories, and extracts explicit follow‑ups, reducing the number of documents users need to open.

Problem

Digital clutter from receipts, meeting notes, and emails creates a tedious decision loop about what matters, where it goes, and whether it requires action.

Outcome

In a measured run, six fictional documents were processed in 15.1 seconds, producing concise summaries and only two actionable follow‑ups, with no tasks generated from informational documents.

Workflow

• Drop notes, receipts, or emails into the inbox folder
• Ollama reads the files using Gemma 3 4B
• The UI shows a summary, proposed category, and any extracted follow‑ups
• User reviews the proposal and corrects category if needed
• User files a named copy, keeping the original untouched
• User reads the brief instead of reopening the full file

Evidence

In a measured local run: six fictional documents, processed by gemma3:4b through Ollama in 15.1 seconds.

Source

The workflow is deliberately small: 1) Drop in notes, 2) Let Sloth read them through Ollama, 3) Glance at a proposal beside the original; correct its category if needed, 4) File a named copy, keeping the original untouched, 5) Read one brief instead of opening the whole pile again.

Source

The core is Gemma 3 4B running locally through Ollama. The model performs meaning-based classification, summary writing, and request extraction.

Source