1. Full Python Integration:
- Objective: Allow seamless integration of Python scripts within n8n workflows, enabling users to leverage Python’s extensive libraries and capabilities.
- Benefits:
- Flexibility to implement complex logic and data processing that may not be possible with current nodes.
- Enhanced ability to incorporate AI and machine learning models directly within workflows.
- Implementation Suggestion: Incorporate a Python execution environment natively within n8n, making it straightforward to run Python code without external dependencies.
Reference: https://youtu.be/TXp1gjK-5oo?si=ufqBVsXkpmNpZDF6
2. Text-to-Flow Modification via Chatbot:
- Objective: Enable users to create and modify workflows using natural language commands through a chatbot interface.
- Benefits:
- Simplifies the process of workflow creation, making it more accessible to users with limited technical skills.
- Speeds up modifications and adjustments by allowing conversational interactions instead of manual node adjustments.
- Implementation Suggestion: Develop a chatbot that integrates with n8n, capable of understanding user instructions and converting them into actionable workflow changes.
Impact: These features would position n8n as a more powerful, flexible, and user-friendly tool, making it a top choice for AI-driven workflow automation. This could significantly reduce the reliance on combining multiple tools, offering a more streamlined solution for users.
! See Microsoft Power Automate Copilot