n8n Workflow: AI-Powered Promo Video Generation with Human Supervision

This n8n workflow automates the process of generating promotional video concepts using AI, incorporating a human review step for quality control and approval. It's designed to streamline the creation of marketing content, ensuring that AI-generated ideas are aligned with brand strategy before proceeding to production.

What it does

This workflow orchestrates the following steps:

1. Triggered Manually or by Schedule: The workflow can be initiated either manually or on a predefined schedule, making it flexible for various operational needs.
2. Initial Data Setup: Sets up initial data, likely including product details or promotional requirements, to feed into the AI agent.
3. AI Agent for Concept Generation: An AI Agent (likely powered by OpenAI's Chat Model) is employed to generate creative promotional video concepts based on the provided input. It utilizes a "Think Tool" to process information and a "Structured Output Parser" to ensure the output is in a usable format.
4. Human Supervision (Implicit): Although not explicitly shown with a dedicated "Approval" node, the If and No Operation nodes, along with the Wait node, strongly suggest a mechanism for human review. It implies that the workflow pauses, awaiting external input (e.g., a manual trigger or an update to a database/spreadsheet) that indicates approval or rejection of the AI-generated concept.
5. Conditional Processing: Based on the human supervision outcome, the workflow uses a Switch node to route the process.
6. HTTP Request (Implied Action): An HTTP Request node is present, which would typically be used to interact with an external API. In the context of promo video generation, this could be used to:
   • Send approved concepts to a video creation platform (e.g., Fal.ai, as suggested by the directory name).
   • Update a project management tool.
   • Notify a team about the next steps.
7. No Operation: A No Operation node is used, likely as a placeholder or a branch for paths that don't require further automated action after a certain condition (e.g., if a concept is rejected).

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running instance of n8n.
• OpenAI API Key: For the "OpenAI Chat Model" used by the "AI Agent" node.
• Credentials for External APIs (if applicable): If the HTTP Request node interacts with specific services (e.g., a video generation API like Fal.ai, or a project management tool), you will need the corresponding API keys or credentials configured in n8n.
• Mechanism for Human Supervision: This workflow implies an external system or manual action for human review and approval. This could be a simple manual trigger, a Google Sheet, a database, or a dedicated approval tool that n8n can poll or be triggered by.

Setup/Usage

1. Import the workflow: Download the JSON and import it into your n8n instance.
2. Configure Credentials:
   • Set up your OpenAI API Key credential in n8n.
   • Configure any other necessary HTTP Request credentials if the workflow is meant to interact with specific external services.
3. Customize Nodes:
   • Schedule Trigger (Node 839): Adjust the schedule as needed for automated runs, or keep it manual for on-demand execution.
   • Edit Fields (Node 38): Modify the input data to include your specific product descriptions, promotional goals, or other relevant information for the AI agent.
   • AI Agent (Node 1119): Review and adjust the prompt and tools used by the AI agent to fine-tune the video concept generation.
   • If (Node 20) and Switch (Node 112): Configure the conditions for these nodes based on how human approval is signaled. For example, if approval is indicated by a specific field in a database, set the condition to check that field.
   • Wait (Node 514): Adjust the wait duration if the human supervision step has a predictable timeframe.
   • HTTP Request (Node 19): Configure the URL, method, headers, and body for the external API call to your video generation service or other downstream systems.
4. Activate the Workflow: Once configured, activate the workflow to start automating.
5. Human Supervision: Ensure there's a clear process for human review of the AI-generated concepts and a way to signal approval or rejection back to the workflow (e.g., by updating a record that the If node checks).