Interactive structured prompt builder with GPT-4.1-mini and guided questions

Description

Who is this for?
This workflow is designed for content creators, prompt engineers, AI developers, and anyone who needs to create effective, structured prompts for AI agents. It helps transform vague ideas into detailed, well-formatted prompts by guiding users through a structured question-and-answer process that captures all necessary details.

What this Workflow Does / Key Features
Interactive form interface that collects initial project information from users
AI-powered question generation that identifies information gaps and creates relevant follow-up questions
Sequential question presentation with a clean, user-friendly interface
Intelligent merging of all user responses into a comprehensive dataset
Structured prompt generation with role, inputs, tools, instructions, constraints, and conclusions
Final prompt display in a clean, ready-to-use format
Automatic output parsing to ensure consistent formatting

Requirements
OpenAI API credentials (GPT-4.1-mini model)
Basic understanding of prompt engineering concepts

How to Use — Step-by-Step (Short Version)
Credentials
Add your OpenAI API credentials in n8n (e.g., “OpenAI account 2”).
Make sure webhook endpoints are publicly accessible.
Initial Form Setup
The BaseQuestions form collects core project details.
Adjust fields as needed for your use case.
It asks about goals, tools, inputs, and desired outputs.
AI Follow-Up Questions
RelatedQuestionAI generates 3 follow-up questions via OpenAI.
Edit the prompt if you want different styles of questions.
A Structured Output node formats the questions cleanly.
Final Prompt Creation
PromptGenerator builds the final structured prompt from all inputs.
Customize the template to change style or format.
The Output Parser ensures everything is well-structured.

Useful Links
LangChain Integration**: Docs...
OpenAI API**: Docs...

Support & Help
WhatsApp**: Chat on WhatsApp
Discord**: SpaGreen Community
Facebook Group**: SpaGreen Support
Website**: https://spagreen.net
Developer Portfolio**: Codecanyon SpaGreen