Generate AI videos and publish to social platforms with Gemini

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Content agencies are drowning in video production requests but have no scalable way to deliver. This AI automation turns a single text prompt into a scripted, visually produced video published across multiple platforms without manual editing or coordination.

What This Automation Does

Generates a complete viral video script with title, scenes, hooks, and CTAs from a single text brief using Google Gemini
Creates image prompts and AI-generated background visuals for each scene automatically
Stores every scene, prompt, image file, and metadata inside Airtable for client-ready transparency and revision tracking
Renders the final video and distributes it to multiple social media platforms without manual uploads

Tools Used

Google Gemini
Airtable
n8n

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How To Build It

Wire Gemini as the script generation brain

Configure Google Gemini as a structured AI agent that receives a raw text brief and returns a fully formatted video script, including a title, description, scene-by-scene breakdown, hook, retention beats, and call to action.

Split scenes into discrete structured records

Each scene from the generated script is separated into its own individual data object so that image prompts, voiceover lines, and visual assets can be created and stored independently without overwriting each other.

Auto-generate visuals for every scene

An AI image generation step takes each scene description and produces a high-quality background image automatically, handling file naming and formatting so the assets are render-ready without any manual preparation.

Log all assets and metadata into Airtable

Every scene record, generated image URL, script segment, and production status is written to Airtable in real time, giving you and your client a live content database that tracks the full production lifecycle from prompt to published video.

Render and distribute the finished video

The completed scene assets are passed to Creatomate to render the final video, which is then uploaded and published to the target social media platforms automatically, including retry logic to handle upload failures without manual intervention.

Pitfalls

Gemini's structured output can drift between runs, producing scene objects with inconsistent field names or missing keys that break the downstream image generation and Airtable logging steps if no output validation layer is in place.
Social platform API rate limits and OAuth token expiry are the most common production failures. Upload credentials for each platform need refresh schedules and the workflow needs fallback logic that retries or flags failures rather than silently dropping a publish.
Scope creep hits hard on this build. Clients quickly request per-platform aspect ratios, custom brand fonts, music beds, and caption overlays. Nail down exactly which outputs are in scope before delivery or every revision becomes an unbilled rebuild.

FAQ

Can I build this without coding?

Mostly yes. The core automation is low-code and uses visual configuration throughout. One step requires a small code block to format and batch scene data correctly, but it is a copy-and-adapt task, not original development.

How long does it take?

Expect 8 to 12 hours to build and test a production-ready version, including Airtable schema setup, platform credential wiring, and error handling. Adding a second social platform destination typically adds 2 to 3 hours.

What can I charge?

Pricing is yours to set based on your market and the client's output volume. This workflow is strong enough to anchor a monthly content package where a client submits briefs and receives finished videos, which justifies retainer-style pricing rather than per-hour billing.

Which tool is required vs optional?

Google Gemini is required for script and prompt generation and Airtable is required as the content database. Creatomate handles rendering and is central to the video output. The specific social platforms the video publishes to are configurable, so you can build for YouTube only, Instagram only, or both depending on the client's needs.

This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.