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AI article summarisation with Python agents behind a defined interface, a two-stage extraction pipeline, and a deliberately thin Chrome extension client.
01 // Overview
AI Summarizer
AI-powered platform for article summarization.
Python Agents
Intelligent backend processing with Python.
GPT Logic
Advanced AI for text summarization.
Clean UI
Chrome-ready, modern interface.
Engineering
The Decisions Behind It.
What made this hard?
Article summarization has unpredictable input: paywalls, ads, navigation noise, and wildly variable length all confuse the model.
How was the system structured?
Content extraction and summarization are separate stages. The extraction layer isolates the article body, and summarization only ever runs on clean text. The API surface for the Chrome integration is deliberately thin, so the extension stays a client and never becomes the owner of the logic.
What does the codebase look like now?
The Python agents sit behind a defined interface, so changing the model or prompt strategy leaves the extension untouched. The chunking strategy for long articles is documented rather than implicit.