Hi everyone!
I’m curious about using AI to create n8n workflows automatically. Has anyone tried this?
I’ve heard some buzz about new language models like Gemini and GPT. It made me wonder if they could help streamline the workflow building process.
If you’ve experimented with AI-generated n8n workflows:
- Which model worked best for you?
- How does the quality compare to manual creation?
- Any tips or challenges to watch out for?
I’m excited to learn from your experiences! Let me know what you think about this approach to workflow automation.
I’ve been using a combination of GPT-3.5 and custom fine-tuning for n8n workflow creation. It’s been a game-changer for productivity, especially for repetitive tasks. The key is to provide clear, detailed prompts and examples of your existing workflows.
One challenge I’ve encountered is that the AI sometimes suggests nodes or integrations that don’t exist in n8n. To mitigate this, I’ve created a custom dataset of n8n-specific information to improve accuracy.
While the AI-generated workflows aren’t perfect, they provide an excellent starting point. I’d estimate they save me about 60-70% of the time compared to manual creation. However, always double-check the logic and test thoroughly before implementing in production.
For complex workflows involving multiple integrations or custom code, human expertise is still crucial. AI is a powerful tool, but it’s not a complete replacement for human judgment and domain knowledge in n8n workflow design.
hey there! i’ve used gpt-4 for n8n workflows - works ok for basic node combos and logic. struggles with deeper integrations. you might need tweaks for n8n’s unique syntax. overall a neat tool for brainstorming but not flawless.
I’ve experimented with Claude for n8n workflow creation. It’s quite adept at grasping the logical structure and can generate decent node sequences. However, its knowledge cutoff means it’s not always up-to-date with the latest n8n features.
One key advantage is Claude’s ability to understand complex instructions, which helps in crafting more nuanced workflows. That said, I’ve found it’s crucial to review and adjust the generated workflows, especially for critical business processes.
A word of caution: AI-generated workflows may not always adhere to best practices or consider edge cases. It’s essential to thoroughly test and optimize them before deployment in a production environment.