📅 2025-01-28 — Session: Developed AI-driven academic productivity workflows
🕒 21:45–23:25
🏷️ Labels: Ai Workflows, Academic Productivity, Automation, N8N, Prompt Engineering
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and refine workflows for academic productivity by integrating AI and automation tools such as n8n and RAG agents.
Key Activities
- Outlined a structured workflow for transforming content outlines into textbooks using RAG agents and n8n automation.
- Created a comprehensive mind map of prompting techniques for LLMs, organized into clusters based on core ideas and applications.
- Developed a framework for academic productivity processes that integrate AI roles and human interventions, focusing on book creation, paper screening, and drafting.
- Designed modular processes for academic productivity, incorporating AI roles and prompting techniques.
- Integrated Structured Chain-of-Thought (SCoT) prompting into AI workflows for academic productivity, research automation, and code generation.
- Reflected on the use of n8n for automating AI-driven workflows in academia, highlighting its integration with OpenAI for content generation and research assistance.
Achievements
- Successfully outlined and designed multiple workflows and frameworks for enhancing academic productivity through AI and automation.
- Identified key prompting techniques and integrated them into structured workflows.
- Demonstrated the potential of n8n in automating academic processes and content creation.
Pending Tasks
- Further refinement and testing of the outlined workflows and frameworks to ensure robustness and efficiency.
- Exploration of additional AI tools and techniques to enhance the current academic productivity processes.