π 2025-01-28 β Session: Developed Modular AI Workflow Framework
π 13:35β14:50
π·οΈ Labels: Modular Ai, Workflow Automation, Rag Mastery, UI/UX, Flask, Debugging
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to conceptualize and plan a modular AI workflow framework and explore enhancements for the RAG Mastery Prototype.
Key Activities
- Developed a comprehensive framework for modular knowledge workflows, detailing components for inputs, prompts, outputs, and UI/UX concepts.
- Explored off-the-shelf solutions for building modular AI-driven systems, including workflow automation and prompt orchestration.
- Proposed a unique product opportunity combining modular AI workflows with drag-and-drop UI and integration with various data sources.
- Planned enhancements for the RAG Mastery Prototype UI, focusing on UI improvements, prompt pipeline features, and backend enhancements.
- Outlined the frontend architecture for ChatGPT and similar applications, emphasizing key technologies and design principles.
- Detailed the team structure needed for launching a market-competitive product, emphasizing project lead responsibilities and team roles.
- Described a project for developing a modular AI workflow platform with configurable workflows and automation features.
- Highlighted the strengths of Emiliano Spinella in product management and platform development.
- Presented an improved HTML template for the RAG Mastery project using modern design principles.
- Designed the architecture for a βBox of Contextβ system for file uploads, detailing backend and frontend functionalities.
- Implemented a Flask backend for the βBox of Contextβ system, providing setup and code details.
- Debugged file upload issues in Flask and JavaScript, providing a systematic troubleshooting approach.
Achievements
- Conceptualized a modular AI workflow framework with potential product opportunities.
- Enhanced the RAG Mastery Prototype UI and tech stack.
- Improved understanding of frontend architecture and team roles for product launch.
Pending Tasks
- Further development and testing of the modular AI workflow platform.
- Implementation of proposed UI enhancements for the RAG Mastery Prototype.
- Continued debugging and optimization of the βBox of Contextβ system.