Generate viral CCTV animal videos using GPT and Veo3 AI for TikTok

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2/3/2026

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Overview

This n8n workflow automates the creation of viral CCTV-style animal videos using AI, perfect for TikTok content creators looking to capitalize on the popular security camera animal footage trend. The workflow generates realistic surveillance-style videos featuring random animals in humorous situations, complete with authentic CCTV aesthetics.

How It Works

The workflow runs on a 4-hour schedule and automatically:

AI Prompt Generation: Uses GPT-5 to create hyper-realistic CCTV-style prompts with random animals, locations, and funny actions
Video Creation: Generates videos using Veo3 AI with authentic security camera aesthetics (black & white, grainy, timestamp overlay)
Content Optimization: AI creates viral TikTok titles and hashtags optimized for maximum engagement
Multi-Platform Publishing: Automatically uploads to TikTok via Blotato and sends to Telegram
Data Tracking: Stores all content in a data table for analytics and management

Key Features

Authentic CCTV Style: Black & white, grainy quality, timestamp overlays, night vision effects
Random Content: 50+ animals, 30+ locations, 50+ hilarious actions for endless variety
AI-Powered Titles: GPT-4 generates compelling, SEO-optimized titles and viral hashtags
Automated Publishing: Direct TikTok posting with proper AI-generated content labeling
Multi-Channel Distribution: TikTok + Telegram for maximum reach
Content Management: Built-in data tracking and status management

Perfect For

TikTok content creators
Social media managers
AI automation enthusiasts
Viral content strategists
Pet/animal content creators

Requirements

OpenAI API key (for GPT-5 and GPT-4)
Veo3 AI API access
Blotato account (for TikTok posting)
Telegram bot token
n8n Cloud or self-hosted instance

Customization Options

Modify animal lists, locations, and actions
Adjust scheduling frequency
Change video aspect ratios
Add more social platforms
Customize AI prompts for different styles

n8n Workflow: Viral CCTV Animal Video Generator (GPT & VEO3 AI for TikTok)

This n8n workflow is designed to automate the process of generating ideas for viral CCTV-style animal videos, leveraging AI models, and then notifying a Telegram channel with the generated content. It aims to streamline the creative process for producing engaging short-form video content for platforms like TikTok.

What it does

This workflow performs the following key steps:

Scheduled Trigger: The workflow is initiated on a recurring schedule, ensuring a consistent output of new video ideas.
Generate Video Concept (AI): It uses an OpenAI Chat Model (via LangChain's Basic LLM Chain) to generate a concept for a viral CCTV-style animal video. This includes details like the animal, the scenario, and a catchy title.
Parse AI Output: A Structured Output Parser extracts specific data points (animal, scenario, title) from the AI-generated text, ensuring the information is in a structured format for subsequent steps.
Conditional Logic: An "If" node checks if the AI successfully generated a video concept.
Notify Telegram (Success): If a concept is successfully generated, it sends a message to a specified Telegram chat with the video details (animal, scenario, title).
Notify Telegram (Failure): If the AI failed to generate a concept or the parsing failed, it sends an error notification to the Telegram chat.
Wait: A "Wait" node introduces a delay, likely to space out notifications or processing.
HTTP Request (Placeholder): An HTTP Request node is present, but without configured details, it currently serves as a placeholder or a remnant of a previous iteration. It might be intended for future integration with a video generation API (e.g., VEO3 AI) or another service.
Data Table (Placeholder): A "Data table" node is included, also without configured data. This could be used to store generated video ideas, track their status, or provide input data for the AI.
Sticky Note: A sticky note provides additional context or instructions within the workflow.

Prerequisites/Requirements

To use this workflow, you will need:

n8n Instance: A running n8n instance to import and execute the workflow.
OpenAI API Key: Configured as a credential in n8n for the "OpenAI Chat Model" node.
Telegram Bot Token & Chat ID: Configured as a credential in n8n for the "Telegram" node to send notifications.

Setup/Usage

Import the Workflow: Download the provided JSON and import it into your n8n instance.
Configure Credentials:
- Set up your OpenAI API Key credential.
- Set up your Telegram API credential, providing your bot token and the chat ID where you want to receive notifications.
Customize Schedule: Adjust the "Schedule Trigger" node to your desired frequency for generating video ideas.
Review AI Prompts: Inspect the "Basic LLM Chain" and "OpenAI Chat Model" nodes to understand and potentially refine the prompts used to generate video concepts.
Activate the Workflow: Once configured, activate the workflow to start generating viral video ideas automatically.
Extend (Optional):
- Configure the "HTTP Request" node to integrate with a video generation service (like VEO3 AI as hinted by the directory name) or another platform.
- Populate the "Data table" to store and manage your generated video ideas.

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