InvoicePilot AI: Smarter Invoice Automation with TEv1 and MCP

Описание и применение

Автоматизированный помощник для фрилансеров, который обрабатывает изображения счетов, извлекает данные, хранит их локально и отвечает на запросы, генерируя напоминания без отправки данных в облако.

Задача

Freelancers spend hours chasing late payments and managing invoices manually.

Результат

The assistant reduces manual invoice processing time, keeps client data local, and provides quick, accurate responses and reminder drafts.

Рабочий процесс

• Upload invoice image or screenshot
• Vision model (gemini-flash-latest) reads image and outputs JSON with client, amount, due dates
• User confirms extracted fields
• Data saved to local SQLite database
• User asks natural language query (e.g., "which invoices are overdue?")
• AI agent (TEv1 + local LLM via Ollama) selects appropriate tool via MCP
• Tool executes query on database
• AI drafts reminder email with exact amount and days overdue

Доказательства

You upload a photo or screenshot of an invoice, a vision model running on your own laptop reads the client, amount, and due dates, and after you confirm the fields it saves them to a local database.

Источник

The project explores whether combining a lightweight decision model with an LLM can improve tool-calling reliability while reducing input-token usage.

Источник

By running the decision model locally, the project avoids additional API costs for tool selection while keeping the main LLM responsible for generating tool arguments.

Источник