📅 2025-04-15 — Session: Developed AI Workflow MVP and Documentation
🕒 18:00–18:20
🏷️ Labels: AI, Workflow, Fastapi, Github, Documentation, Development
📂 Project: Dev
⭐ Priority: MEDIUM
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.