Workflow Templates

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Generate Videos from Chat with Google Vertex AI (Veo3) - Beginner Friendly Description Turn any text prompt into a short AI-generated video directly from an n8n chat. This workflow connects a chat trigger to Google Vertex AI’s Veo3 model, sending your prompt as input and polling until the rendered video is ready. Once complete, the video is converted into a downloadable file you can use anywhere. Perfect for experimenting with AI-driven media or automating creative video generation inside your workflows. Watch step-by-step guide for these type of workflows here: www.youtube.com/@automatewithmarc How It Works Chat Trigger – Start by typing your prompt into an n8n chat. Post to Vertex AI (Veo3) – Sends the prompt to the Veo3 API with parameters like aspect ratio, duration, and resolution. Wait + Poll Loop – Repeatedly checks the operation status until the video is finished. If + Edit Fields – Extracts the base64 video response and metadata. Convert to File – Turns the video into a binary file for download or use in further automations. Why You’ll Love It ⚡ Generate custom AI videos in minutes. 🗣️ Natural workflow — just type your idea in chat. 🎥 Flexible parameters — adjust resolution, aspect ratio, and duration. 🔗 Ready for integration — feed the output into Google Drive, Slack, or any connected app. Requirements Google Cloud project with Vertex AI API enabled. Google OAuth credentials in n8n. n8n (Cloud or self-hosted).

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System Prompt Generator Using Unli.dev turns human input ideas into a polished, repeatable system prompt blueprint. It uses an n8n webhook, a small Set/Prepare pipeline, and Unli.dev's chat completions to generate single-turn, comprehensive system prompts that include: persona mission rules output format designer notes so your team spends less time arguing about wording and more time shipping features (and you get consistent LLM behavior across apps). 💡 Why Use System Prompt Generator Using Unli.dev? Fix the pain of inconsistency** Improve outcomes measurably** Competitive advantage:** Standardize your AI behavior with enforceable rules and templates so your product's voice and constraints stay consistent across teams — like an AI style guide that never takes a coffee break. ⚡ Perfect For Prompt Engineers:** Systematize prompt design and handoffs. Product Managers:** Lock down expected AI behaviors before launch. Developers & AI Ops:** Automate prompt generation for testing and deployments. 🔧 How It Works ⏱ Trigger: Incoming HTTP POST to the webhook path systempromptgenerator kicks everything off. 📎 Process: Webhook → Set Prompt/Model (map incoming fields) → Prepare API Body (compose messages) → Unli.Dev (Chat Completions) → Extract Answer → Respond to Webhook. 🤖 Smart Logic: Unli.dev (chat completions) runs a single-turn generation using the embedded system-template that builds persona, operational protocol, rules, output format, and designer notes automatically. 💌 Output: The generated system prompt (with Designer's Notes) is returned in the webhook response for immediate use in your app or CI pipeline. ⚠️ Security Note: You'll want to swap in your Unli.dev API key under the HTTP header auth credential—don't share it in Slack. Seriously. 🧩 Requirements Active n8n instances Unli.dev API key / account HTTP Header Auth credential configured in n8n Optional: Postman or curl for testing 🛠️ Level Up Ideas Add a lightweight front-end form** to let non-technical PMs generate prompts and preview outputs Add validation rules** or automated tests that run generated system prompts against sample user queries to catch unwanted behavior early Made by: Khaisa Studio Category: system-prompt, unli.dev Need custom work? Contact me!

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This n8n automation connects your n8n form submissions to Vapi AI, enabling you to immediately call new respondents with a personalized voice AI assistant, as soon as the form is submitted. 🧾 Requirements n8n Form An n8n form node published and accessible to users. The form must include a phone number field: Accept full international phone number with + and country code. Example: +11234567890 (Optional) Add more form fields as needed for your use case. Vapi A Vapi account with credit. A connected phone number for outbound calls. An assistant created and ready to make calls. Your Vapi API key. 🔗 Useful Link Vapi calll endpoint 🔄 Workflow Breakdown 1. Trigger: Form Submission (n8n Form) Starts when a submission is received from your form. 2. Wait 2 Minutes Inserts a 2-minute pause before the next steps. 3. Set Vapi Fields (Manual Step) Step-by-Step: Configuring Vapi Parameters in the ‘Set fields’ Node Open the ‘Set’ node where you map Vapi parameters. Add fields (if not present): phone_number_id: The sender phone number ID from your Vapi dashboard. assistant_id: The ID of the Vapi AI assistant you want to use. api_key: Paste your Vapi API key here (keep secure). (Optional) Add more fields for personalization, such as: first_name, product, reason, etc., if captured in your form. 4. Start Outbound Vapi Call Sends a POST request to https://api.vapi.ai/call. Payload includes: Phone number from form Chosen assistant ID Vapi number ID Any additional info you choose to pass for customizing the call 🎨 Customization How to Adapt for Different Use Cases Collect More Info:** Add fields to your n8n form for details such as name, product type, issue/context, preferred language, etc. Use Extra Data in Calls:** In the HTTP request node, pass these fields in the API request body to Vapi. Tailor your assistant’s script to reference these for a personalized experience. Conditional Calls:** Add n8n logic nodes to filter/categorize submissions (e.g., only call if a checkbox is ticked or if value matches certain criteria). Dynamic Assistant Selection:** Select assistant or Vapi number based on user responses (e.g., route to different assistants by region or requested service). 📇 Using Additional Form Fields in Vapi Calls Any field collected on your n8n form can be included in the call payload, simply add it in the HTTP request payload. Vapi can use these variables for dynamically constructing prompts, personalizing the call flow, or branching logic in the interaction. Example: If your form collects first_name and appointment_time, both can be sent to Vapi and referenced in the call script or as variables in your assistant’s logic. 🙋‍♂️ Need Help? Feel free to contact us at 1 Node Explore more free resources created for automating n8n and Vapi.

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