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. --- 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. --- 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. --- 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. --- 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. --- 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.