🧠 AI Prompt Generator Workflow – n8n Documentation

Who is this for?

This workflow is for AI builders, prompt engineers, developers, marketers, and no-code creators who want to convert rough user input into structured, high-quality prompts for LLMs. It’s especially useful for tools that rely on precision prompting and want to automate the discovery of intent and constraints.

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What problem is this workflow solving? / Use case

Many users struggle to write effective prompts due to vague ideas or unclear formatting needs. This workflow:

• Collects structured user input.
• Dynamically generates clarifying questions.
• Returns a well-formatted AI prompt based on the user's intent and context.

This ensures the generated prompt is useful for downstream AI agents without requiring technical understanding from the end user.

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What this workflow does

1. Start with a branded form UI
   The user is shown a styled form with questions like:

   • What do you want to build?
   • What tools can you access?
   • What input can be expected?
   • What output do you expect?

2. Analyze and generate relevant follow-up questions
   The workflow sends the user's answers to Google Gemini (via LangChain) which outputs 1–3 clarifying questions. These questions are parsed into a dynamic form.

3. Loop through and collect follow-up answers
   Each follow-up question is shown in a form one at a time to capture additional context.

4. Merge all inputs
   The base intent and follow-up responses are merged into a single context block.

5. Generate a final AI-ready prompt
   The prompt generator node formats everything into a clean, six-section structure:

   • <constraints>
   • <role>
   • <inputs>
   • <tools>
   • <instructions>
   • <conclusions>

6. Display the final result
   The finished prompt is shown in a clean UI where users can easily copy and reuse it.

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Setup

1. Credentials Required

   • Google Gemini (PaLM) API credentials (already integrated as Google Gemini(PaLM) Api account 2).

2. Form Trigger

   • Ensure the On form submission trigger is exposed via a webhook or public endpoint (e.g. using ngrok or deployed server).

3. Styling

   • Custom CSS is included in all form nodes for a beautiful UI. You can modify this to match your branding.

4. Environment

   • This workflow is compatible with self-hosted n8n or n8n.cloud.
   • Webhooks must be accessible to users who will fill out the form.

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How to customize this workflow to your needs

• Change the base questions
  Update the BaseQuestions form node to add or remove fields depending on your use case.

• Modify Gemini prompts
  You can edit the system prompt inside PromptGenerator to change tone, output structure, or AI instructions.

• Change prompt formatting
  If you use a different AI agent (like GPT, Claude, or Mistral), adjust the section labels and formatting to suit that agent’s expected input.

• Send results elsewhere
  Add integration nodes after PromptGenerator, such as:

  • Google Docs / Notion (to log prompts)
  • Gmail / Slack (to notify your team)
  • Zapier / Make (to push to other automation flows)

• Skip follow-up questions (optional)
  If your base form collects all needed info, you can bypass the RelevantQuestions form section by modifying conditional logic.

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Example Output Prompt (Structure)

<role> You are an AI assistant that converts videos into LinkedIn posts with a witty tone. </role> <inputs> - A short video (max 5 minutes) - Desired tone: witty - Style: both summary and quotes - Audience: general network </inputs> <tools> You do not have access to APIs or web search. </tools> <instructions> 1. Parse transcript. 2. Extract insights and quotes. 3. Write an engaging, witty LinkedIn post under 3000 characters. </instructions> <constraints> Avoid technical jargon. No generic intros. Make it platform-native. </constraints> <conclusions> Return a LinkedIn-ready post that starts with a hook and ends with hashtags.