Dynamic AI Prompt Builder with Google Gemini
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Struggling to craft the perfect AI prompts? This n8n workflow leverages Google Gemini to dynamically generate a series of guided questions, helping you build powerful and precise prompts in a multi-step interactive process. Transform vague ideas into actionable AI instructions with ease.
About This Workflow
Crafting effective prompts for AI models is a skill that can significantly impact output quality. This n8n workflow automates and simplifies the prompt engineering process by acting as an intelligent assistant. It begins with an initial input form, then sends your request to Google Gemini. Utilizing Langchain's structured output parsing, Gemini's response is transformed into a set of dynamic questions. These questions are then presented in a second, personalized form, guiding you step-by-step to refine your prompt until it's perfectly tailored for your AI application. Say goodbye to guesswork and hello to expertly engineered prompts.
Key Features
- AI-Powered Guidance: Leverages Google Gemini (Flash 2.0) for intelligent, context-aware prompt refinement.
- Dynamic Form Generation: Automatically creates follow-up questions and input fields based on AI suggestions.
- Interactive Multi-Step Prompting: Guides users through a structured, iterative process to build robust prompts.
- Customizable User Experience: Features custom CSS for a polished and branded form interface, enhancing user engagement.
- Seamless Web Form Integration: Easily deployable as a public web form, accessible to anyone who needs to generate prompts.
How To Use
- Configure 'On form submission' node: Customize the initial form's title (e.g., '🚀 AI Prompt Generator'), description, and button label. This form captures the user's initial prompt idea.
- Set up 'Google Gemini Chat Model': Provide your Google Gemini API credentials. You can adjust the
modelNameif you prefer a different Gemini model. - Refine 'Structured Output Parser': Ensure the
jsonSchemaExamplein this node accurately represents the desired structure for Gemini's output. This output will define the dynamic fields for the subsequent form. - Customize 'BaseQuestions' node: This node dynamically renders a second form based on the structured output from Gemini. Adjust its custom CSS for branding and user experience.
- Connect Logic: Verify that the output from the 'Structured Output Parser' feeds correctly into the 'BaseQuestions' node to enable dynamic field generation.
- Activate and Share: Once configured, activate your workflow and share the public URL of the 'On form submission' form to empower users to generate advanced AI prompts.
Apps Used
Workflow JSON
{
"id": "7e9b4365-ce3c-4a35-8e6e-2df0ce11a0d8",
"name": "Dynamic AI Prompt Builder with Google Gemini",
"nodes": 20,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 7e9b4365-ce3c...
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