I could use a little help. I’ve tried ~20 n8n/ChatGPT-assisted automations and keep running into the same issues: JSON imports that drop bodies/headers, non-JSON assets that don’t survive import, and constant “fix error → re-upload → new error” loops. If I use chat GPT it gives the nodes but its ALWAYS major wrong or needs alot of add ons, function, sets and its taking us about 20 hours + to get working and I feel like we are missing a important tool, program, bot something that actually allows a text to prompt deploy that is easy to complete.. Is there? Questions: 1. What’s the best way to go from a plain-English prompt/spec to a working n8n workflow with everything filled in (headers, bodies, auth, error handling) so I’m not patching for days? 2. Is there a better import method than uploading a JSON file and losing bodies/headers or non-JSON pieces? 3. What template or packaging approach are you using so workflows deploy cleanly for others without manual surgery? 4. Any proven setup/checklist would be hugely appreciated.

Learn exactly how to build the most advanced, production-ready & capable AI Voice Agents. I'll do a complete A-Z build using Vapi, showcasing how we approach prompt engineering within our AI Agency. I'll then showcase Relyable, my brand new AI Voice Agent Simulation, Monitoring & Evaluations platform. You'll see exactly why testing is such a critical factor in the development of conversational AI Agents. 🚨 This video is an absolute must-watch for anyone in the AI Voice Agent space.