AI Product Insight Extraction and Pipeline Refactoring

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📅 2025-04-08 — Session: AI Product Insight Extraction and Pipeline Refactoring

🕒 15:50–16:55
🏷️ Labels: AI, Product Management, Pipeline, Python, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session focused on enhancing AI-driven product management tools and refining data processing pipelines.

Key Activities

  • Developed the ai_extract_product_insights function to asynchronously extract structured product insights from various sources using OpenAI’s GPT model.
  • Outlined a JSON schema for product discovery, facilitating AI extraction from a product manager’s perspective.
  • Conducted a diagnostic analysis of existing code, proposing refactoring for improved modularity and maintainability.
  • Refactored Python scripts to enhance pipeline clarity, modularity, and robustness.
  • Integrated file management improvements, including options for generating and updating file_lists.txt using Bash or Python.
  • Improved file loading and processing code for better scalability and functionality.
  • Emulated Bash commands in Python for file management tasks.
  • Implemented parsing techniques for fixed-width formatted data using Pandas.

Achievements

  • Successfully implemented a new AI function for product insights extraction.
  • Enhanced the modularity and maintainability of data processing pipelines.
  • Improved file management and data parsing techniques.

Pending Tasks

  • Further testing and validation of the refactored pipeline and new AI functions.
  • Explore additional improvements in data persistence and output layers.

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