π 2025-04-13 β Session: AI Workflow and DevOps Automation Planning
π 09:00β09:15
π·οΈ Labels: AI, Automation, Devops, Python, Workflows
π Project: Dev
β 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 βFlowman,β 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 βFlowmanβ for DevOps automation.
- Proposed modular designs for content indexing and text classification.
Pending Tasks
- Further development and testing of βFlowman.β
- Implementation of the proposed modular architectures.
This session focused on planning and conceptualization, setting the stage for future development and execution phases.