Generate and publish AI short-form videos to TikTok and YouTube

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Social media managers and creators spend hours scripting, producing, and posting short-form videos every day. This AI automation handles idea generation, video production, sound design, and multi-platform publishing in a single pipeline so your client never has to touch the process.

What This Automation Does

Generates a video concept and scene-by-scene prompt using AI, then produces the actual video clip and layered sound effects automatically
Stitches the raw clips and audio into a finished, publish-ready video file without any manual editing
Logs every video idea, output link, and metadata to Google Sheets so your client always has a full content record
Auto-publishes the finished video to TikTok, YouTube Shorts, and Instagram Reels on a recurring schedule

Tools Used

OpenAI
Google Sheets
n8n

Where to Get Hired for This Skill

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Source: Contra freelancer search · refreshed 26 May 2026

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How To Build It

Wire the AI idea and prompt engine

Connect OpenAI to a structured output parser so the workflow produces a formatted video concept and detailed scene prompt on every run, ready to pass downstream without any manual intervention.

Configure video clip and audio generation

Set up the Wavespeed AI and Fal AI credentials so the workflow autonomously generates the video clip from the scene prompt and produces matching sound effects in the same run.

Build the video stitching step

Route the raw clip and audio outputs into Fal AI's ffmpeg API endpoint so the workflow assembles and exports a single finished video file ready for distribution without any manual editing software.

Connect Google Sheets for output logging

Link a Google Sheets account so every completed video run appends a new row containing the concept, prompt text, and final video URL, giving your client a live content audit trail.

Map platform account IDs and set the schedule

Enter the client's TikTok, YouTube, and Instagram account identifiers into the social media ID assignment step, then configure the schedule trigger to control exactly when each daily batch publishes.

Pitfalls

Fal AI and Wavespeed AI impose concurrent request limits, so if the schedule fires too frequently or the video generation step stalls, subsequent runs queue up and publish out of order, flooding the client's feed.
OAuth tokens for TikTok and Instagram expire on unpredictable cycles, and a single expired token silently fails the publish step for that platform while the rest of the workflow reports success.
AI-generated scene prompts can drift in tone over time as the model's context shifts, producing videos that no longer match the client's chosen niche without any error being thrown.

FAQ

Can I build this without coding?

Almost entirely. The workflow uses low-code configuration for all AI and publishing steps. The only exception is a small code block used to format video metadata, which you can adapt by following the inline comments without writing anything from scratch.

How long does it take?

Expect four to six hours to configure all API credentials, map the client's social account IDs, and run a full end-to-end test with a live video output. Most of that time is waiting on video generation, not active building.

What can I charge?

Pricing is entirely your call based on your market and the client's perceived value. A done-for-you daily video pipeline is a recurring deliverable, so most freelancers position it as a monthly retainer rather than a one-off project fee.

Which tool is required vs optional?

OpenAI, Wavespeed AI, Fal AI, and Blotato are all required because each handles a distinct stage of the pipeline. Google Sheets logging is optional but strongly recommended for client reporting. Slack or Telegram approval steps are optional additions you can bolt on if the client wants to preview before publishing.

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