Using Python and AI to Enhance Requirements Elicitation

In my work as a Product Owner and System Analyst, collecting and reviewing requirements and documents is a daily task.

To make this process faster and more efficient, I developed a small assistant using Python and AI.
The assistant monitors comments in Google Docs. When I highlight text and write a question or instruction starting with AI:, the bot analyzes the selected text and provides feedback directly in the document.

This approach helps to:

1. Quickly check the format and clarity of requirements.
2. Provide suggestions for improving text without leaving the document.
3. Save time for System/Business Analysts and Product Owners who frequently review content.

From a technical perspective, the Python script uses several key components:

1. Google Docs and Drive APIs to read comments and post replies.
2. OpenAI API to analyze highlighted text and generate feedback.
3. Logic to ignore old comments at startup and avoid duplicate replies, ensuring the bot only responds to new or repeated comments intentionally.
4. Temporary tracking of processed comment IDs during each cycle to maintain performance and prevent multiple responses to the same comment.

By combining Python and AI, this tool automates part of the review process, letting me focus on higher-level analysis and decision-making instead of manual text checks.

I attached straightforward examples of how it looks: