📅 2025-02-14 — Session: Developed AI-driven knowledge base automation strategy
🕒 03:05–04:00
🏷️ Labels: AI, Knowledge Management, Automation, Flowise, Low-Code
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore and strategize the development of an AI-driven knowledge base automation system, contrasting traditional chat-based systems with scalable workflow automation.
Key Activities
- Discussed a paradigm shift towards AI-driven knowledge base automation, emphasizing scalable workflows and content generation.
- Reviewed existing platforms and tools such as n8n, KNIME, and Bonita BPM for workflow automation and data-driven content creation.
- Explored Flowise, a low-code platform for LLM applications, and its potential for plugin development and monetization.
- Outlined a strategic business model for an AI automation tool, focusing on differentiation through AI workflow automation and leveraging open-source solutions.
Achievements
- Clarified the potential of using Flowise for developing AI-driven solutions and the advantages of plugin development over forking the project.
- Identified monetization strategies and market demand for no-code solutions.
Pending Tasks
- Further exploration of hosting options for Flowise plugins and their commercialization potential.
- Detailed planning for the development of custom modules and UI enhancements in Flowise.