Developed AI Product Insight Extraction Functions

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📅 2025-04-08 — Session: Developed AI Product Insight Extraction Functions

🕒 16:00–17:00
🏷️ Labels: AI, Product Management, Python, Code Analysis, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance AI-driven product management capabilities by developing and refining functions for extracting structured product insights from technical content.

Key Activities

  • Developed the ai_extract_product_insights function to asynchronously extract product insights using OpenAI’s GPT model.
  • Created a JSON schema for product discovery to analyze code from a product manager’s perspective.
  • Discussed improvements to the output layer for better data persistence and management.
  • Refactored existing Python scripts to improve modularity and maintainability.
  • Integrated file management enhancements into the data processing pipeline, including emulating Bash commands in Python.

Achievements

  • Successfully implemented the ai_extract_product_insights function, enhancing the ability to derive structured insights from project texts.
  • Established a robust JSON schema for product discovery, facilitating better analysis and opportunity identification.
  • Improved code modularity and maintainability through refactoring efforts.

Pending Tasks

  • Further testing and validation of the AI extraction functions to ensure compatibility with various codebases.
  • Additional integration of the new functions into existing workflows and pipelines.

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