πŸ“… 2025-04-13 β€” Session: AI Workflow and DevOps Automation Planning

πŸ•’ 09:00–09:15
🏷️ Labels: AI, Automation, Devops, Python, Workflows
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to explore and plan the transformation of standalone Python scripts into orchestrated AI workflows, focusing on automation and modular design.

Key Activities

  • Discussed the conversion of Python scripts into AI workflows, detailing components and AI assistance.
  • Introduced β€œFlowman,” an AI agent to streamline DevOps workflows by automating pipeline creation and script integration.
  • Outlined a modular AI platform content indexer, detailing its structure, functionality, and AI integration steps.
  • Analyzed the integration of chunk_query.py into the platform as an orchestrator for new AI-generated MVPs.
  • Proposed a modular architecture for the text_classifier_fast.py script, identifying reusable components for text classification.
  • Reviewed a data ingestion and chunking engine (directory_processor.py), highlighting its strategic value for AI applications.

Achievements

  • Established a clear plan for transforming Python scripts into AI workflows.
  • Conceptualized β€œFlowman” for DevOps automation.
  • Proposed modular designs for content indexing and text classification.

Pending Tasks

  • Further development and testing of β€œFlowman.”
  • Implementation of the proposed modular architectures.

This session focused on planning and conceptualization, setting the stage for future development and execution phases.