123FormBuilder Google Drive

Generate video from prompt using Vertex AI Veo 3 and upload to Google Drive

Transform text prompts into cinematic videos automatically using the power of Google’s Vertex AI Veo 3. This workflow handles the heavy lifting of rendering and file conversion before neatly organizing your final .mp4 creations directly in Google Drive. It's an ideal solution for creators looking to scale their video production without manual overhead.

Run this with your team's AI

What This Recipe Does

The Google Vertex AI Content Generation automation transforms the way your business produces high-quality written material. Instead of starting from a blank page, your team can use a simple form to provide context, keywords, or specific requirements. This workflow then leverages advanced artificial intelligence to draft professional content, format it into a clean document, and automatically save it to your Google Drive. By automating the drafting process, you eliminate the bottleneck of manual writing and ensure consistency across all business communications. This solution is particularly valuable for organizations that need to scale their content production without increasing headcount. Whether you are generating technical reports, marketing articles, or internal documentation, this automation handles the heavy lifting of composition and file management. It allows your staff to focus on high-level strategy and final editing rather than repetitive administrative tasks. The integration with Google Drive ensures that every generated asset is organized and accessible to the right team members immediately upon completion.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

123FormBuilder, Google Drive connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect 123FormBuilder and Google Drive once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

Do I need to know how to prompt AI to use this?

No, the system is designed to work with structured form inputs, meaning you only need to provide the business details while the automation handles the technical AI instructions.

Can I change where the files are saved?

Yes, you can easily select any folder within your Google Drive as the destination for the generated documents.

Is it possible to adjust the tone of the writing?

You can customize the underlying settings to ensure the generated content matches your brand voice, whether it needs to be formal, creative, or technical.

What file formats are supported for the output?

The automation converts the AI-generated text into a standard document format that is ready for immediate use or further editing in Google Workspace.

Coming from n8n?

This recipe uses nodes like Set, ConvertToFile, FormTrigger, GoogleDrive and 3 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

Set ConvertToFile FormTrigger GoogleDrive HttpRequest StickyNote Wait

Based on n8n community workflow. View original

Related Recipes

Google Drive Pinecone

Build a document QA system with Google Drive, Pinecone, and OpenAI RAG

This automation streamlines document management by instantly reacting to file changes within your Google Drive. Instead of manually monitoring folders or waiting for notifications, this workflow detects new or updated files and triggers immediate downstream actions. For businesses handling high volumes of documentation, this ensures that team members are alerted the moment a contract is uploaded, a report is edited, or a client submits a project brief. By converting Google Drive into an active participant in your workflow, you eliminate the latency between document creation and business action. This results in faster response times, improved project momentum, and the removal of administrative bottlenecks that typically slow down collaborative environments. Whether you are managing legal documents, marketing assets, or internal reports, this automation provides a reliable bridge between your storage system and your operational processes.

See the recipe
Http Jotform Google-gemini Jina AI

Automate vendor due diligence research with Gemini & Jina AI

This AI Safety and Compliance automation provides a robust framework for organizations to vet content and data against internal policies and regulatory standards. By utilizing a structured form trigger, the workflow captures submissions and subjects them to an intelligent analysis process powered by Jina AI. It evaluates inputs for potential risks, compliance violations, or safety concerns, ensuring that every piece of data moving through your pipeline adheres to predefined safety protocols. The system includes built-in wait states and conditional logic to allow for human-in-the-loop verification when necessary, finally consolidating all findings into a centralized Google Sheets repository for auditing. This automation eliminates the manual bottleneck of compliance reviews, reduces the risk of human error in safety assessments, and provides a transparent audit trail for stakeholders and regulators.

See the recipe
Langchain.chatTrigger Langchain.lmChatOpenAi Langchain.memoryBufferWindow Langchain.agent +10

AI-powered document chat with Nextcloud files using LangChain and OpenAI

This AI-driven document management automation transforms how your organization interacts with stored data. By integrating a conversational AI interface with NextCloud, this workflow allows team members to query, extract, and analyze information from files using natural language. Instead of manually searching through folders and reading dozens of documents to find specific details, users can simply ask questions and receive structured summaries or specific data points instantly. The system intelligently routes requests, processes various file types through automated extraction, and aggregates results into a cohesive response. This significantly reduces the time spent on administrative research and ensures that critical information trapped in static documents becomes an accessible, actionable asset for your entire team. By bridging the gap between raw file storage and intelligent retrieval, this automation empowers better decision-making and accelerates project timelines.

See the recipe
Http Google-gemini Jotform

Generate product images & videos with Gemini AI, DeepSeek, and GoAPI for e-commerce

This automated content generation system streamlines the transition from raw data to production-ready assets. By integrating powerful web requests and HTML processing, the workflow automatically fetches, structures, and formats content based on your specific requirements. The inclusion of a Form Trigger allows team members to initiate content requests instantly, while the built-in logic handling ensures that data is validated and converted into the correct file formats before delivery. To ensure reliability in business operations, the system features a dedicated error-handling mechanism that sends immediate notifications via Discord if a process requires attention. This eliminates the manual overhead of constant monitoring and allows your creative team to focus on strategy rather than data entry. By standardizing the content creation pipeline, businesses can maintain a consistent brand voice and accelerate their publishing schedule without increasing headcount or technical complexity.

See the recipe

Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

Open this recipe in Runwork