Create Your Own Content Powerhouse With AI, Airtable And Make! - Plus Free Templates!

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AI Summary

Video Summary

Concept

• The video demonstrates how to expand small ideas into full-fledged content using an automated system with specialized OpenAI assistants.
• A content review agent evaluates the output, providing rankings and feedback.
• Content that passes the threshold is published and then fed back into the system to refine future reviews.

Tools and Resources

• Automation is done using make-dot-com.
• Data is stored and processed using Airtable.
• OpenAI’s GPT model is used for content creation and review.
• Templates for the system can be downloaded from Sam will. c/t templates.

Process Overview

1. Input Collection:
   • Ideas are inputted manually as text, audio, or video.
   • These inputs are stored in an Airtable database.
2. Content Creation:
   • Inputs are summarized and briefed using OpenAI’s GPT model.
   • Different content types (newsletter, blog, social posts) are created from the summarized inputs.
   • Created content is stored in a separate database.
3. Content Review:
   • An AI agent reviews the content, ranks it, and provides feedback.
   • Content deemed good enough is published and fed back into the system.

Detailed Instructions

1. Airtable Setup:
   • Sign up at Airtable and create a new database.
   • Set up fields for ID, copy, video, audio, transcription, and summary.
2. Automation with Make.com:
   • Create a new scenario to watch for new records in Airtable.
   • Use OpenAI’s GPT model to summarize content.
   • Set up a transcribe slack audio note for audio inputs.
   • Create a summary and brief for content processing.
   • Set up a router to direct content to the appropriate assistant based on the content type.
   • After processing, reset the process field in Airtable.
3. Content Review and Improvement:
   • Use a long-form content review assistant to evaluate the content.
   • Extract feedback and rating, and feed it back into Airtable.
   • Update the content database with the new content, status, type, rating, and feedback.
   • Link the content back to the initial input for reference.
   • If content is published, update the assistant’s data store with the new content for future reference.

Tips

• Spend time setting up the assistants in OpenAI for better output.
• Use file storage in OpenAI to provide assistants with examples and guidelines.
• Experiment with prompts and file storage to improve content quality.

Final Steps

• Finish setting up the paths for different content types.
• Turn on the automation and start inputting ideas.
• Once content is published, it reinforces the agent for a self-improving content automation system.

Note

• The video is focused on using AI and automation to streamline content creation.
• The presenter emphasizes the importance of refining the AI assistants and the iterative process of content improvement.