Ai prompt generator workflow
# 🧠 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](https://ngrok.com/) 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.
