I Built My Dad a Local AI Translator for His Stock Research

说明与用途

Argus Friend Brief 将 Argus 市场研究数据转换为本地生成、可证据链接的简明报告，全部在笔记本电脑上完成，无需上传数据。

问题

My dad needed a way to digest Argus stock‑research data without navigating complex dashboards.

结果

The app runs entirely on a laptop, keeps research data local, and produces evidence‑linked briefings that help the user understand each company’s situation.

工作流

• Export a read‑only, sanitized snapshot from Argus SQLite
• Run local Gemma 3 4B via Ollama on the snapshot
• Validate JSON output against a Pydantic schema
• Check citations and safety guards
• Display briefing in Streamlit with expandable evidence panels

证据

Argus Friend Brief takes a sanitized snapshot of that research and asks a local Gemma model to explain one company in plain language.

来源

The model never sees the database or an open‑ended question. It receives one company's evidence catalog and a Pydantic‑derived JSON schema.

来源

If a response contains an unknown citation or disallowed language, the app gives the model one repair attempt. If the repaired response still fails, the app displays an error instead of an unsupported brief.

来源