36 lines
1.3 KiB
Markdown
36 lines
1.3 KiB
Markdown
# eFiling Automation
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Automating the process of e-filing legal documents.
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## Project Structure
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```
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├── AGENTS.md # AI agent instructions & project context
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├── README.md # This file
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├── videos/ # Research videos: manual workflows + competitor demos
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├── docs/ # Documentation
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│ └── research/ # Research notes & analysis (driven by video-based skills)
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└── app/ # Python codebase (managed with uv)
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```
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## Overview
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This project aims to automate the e-filing workflow. We take a methodical approach:
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1. **Research** — Watch and analyze videos showing both the manual filing process and competitor solutions. Skills are built to extract and organize insights from these videos. Research findings are documented in `docs/research/`.
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2. **Build** — Implement the automation as a Python application in `app/`, using [uv](https://github.com/astral-sh/uv) for dependency and virtual environment management.
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## Tech Stack
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- **Language**: Python
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- **Dependency Manager**: uv (`pyproject.toml` + `uv.lock`)
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- **Video Analysis**: Custom skills for research pipeline
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## Quick Start (after research phase)
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```bash
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cd app
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uv sync # Install dependencies
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uv run python -m app # Run the application
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```
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