Developed AI Workflow MVP and Documentation

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Developed AI Workflow MVP and Documentation

  • Day: 2025-04-15
  • Time: 18:00 to 18:20
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: AI, Workflow, Fastapi, Github, Documentation, Development

Description

Session Goal:

The session aimed to develop and document the AI Workflow MVP, a minimalist framework using Python and FastAPI for building modular AI workflows with YAML and Prompty templates. The goal was to enhance developer productivity by providing a scalable solution for multi-step LLM pipelines.

Key Activities:

  • AI Workflow MVP Framework: Discussed the design and deployment of a developer-oriented orchestration engine for AI workflows.
  • Documentation: Outlined the features, quick start guide, example flows, and project structure for the framework.
  • README.md Completion: Successfully prepared the README.md file, including YAML examples, usage instructions, and a vision statement.
  • Visualizer Implementation: Explored visualizer patterns for backend flow systems, recommending GitHub Actions style and Graph/DAG visualizers.
  • GitHub Setup: Created a checklist for setting up the GitHub repository, including essential files and Docker configuration.
  • Cleanup Strategy: Developed a strategy for organizing the AI flow platform by isolating core components and archiving legacy modules.

Achievements:

  • Completed the README.md with all necessary components.
  • Established a comprehensive GitHub setup checklist.
  • Formulated a cleanup strategy for the AI flow platform.

Pending Tasks:

  • Implement the visualizer for AI workflows as outlined in the session.
  • Enhance the project description and GitHub repository features as suggested.

Evidence

  • source_file=2025-04-15.sessions.jsonl, line_number=6, event_count=0, session_id=f85e2fe44e8950c3130dcb2e9ed1fec74f4e850c1bd60bb0a630afeeeb27400f
  • event_ids: []

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