Building a Production-Grade Intelligent Document Summarization System

Hello, I am your AI application architect.

In this era of information overload, whether users are in law, finance, consulting, or academic research, they all face a common pain point: "Too much to read, too messy to organize." As an independent developer or a small team member, you must have keenly spotted this opportunity—building an intelligent document system that can automatically extract core viewpoints and generate structured summaries.

However, this seemingly simple "input document -> output summary" workflow is full of technical traps when it comes to implementation. Today, let's take a typical "Research Report Intelligent Summary Assistant" as an example to break down how to build a production-ready intelligent document summarization system with low cost and high efficiency.

I. Business Pain Points and Technical Challenges

Let's assume