Building Automations and a Content Database

Introduction

• Automate content indexing and tagging to facilitate searching and repurposing.
• Use Airtable and make.com for creating automations and databases.
• Join "NoCode Architects" for more resources and templates.

Setting Up a Content Database

Creating a New Database in Airtable

• Start a new database and rename it to "tagging and search."
• Create a table for content and an auto number field for unique IDs.

Adding Fields

• Text Field: For storing text related to posts.
• Attachment Field: For images and videos.
• Image Context and Media Context Fields: Use AI (ChatGPT) to interpret image/video content.

Tagging System

• Add a new table for tags.
• Link content to multiple tags.

Sample Data

• Add sample media, images, and text into the database.
• Include optional fields like title and description.

Automating Content Processing

Setting Up Automations

• Use ChatGPT to analyze images and transcribe media.
• Create checkboxes to indicate processed content.

Creating Processing Views

• Set up views to filter unprocessed content.
• Add a "last processed" timestamp field.

Automation with Make.com

Connecting to Airtable

• Set up connections with OAuth.
• Watch records and use fields like "last processed" as triggers.

Image and Media Analysis

• Use routers to branch processes for images and media.
• For images, use OpenAI to describe content.
• For media, use ChatGPT Whisper for transcription.

Updating Airtable

• Mark content as processed after analysis.
• Update relevant fields with analyzed data.

Tag Generation and Search

Automating Tag Creation

• Use ChatGPT to analyze content and generate tags.
• Ensure tags are stored as arrays for multiple selection.

Setting Up Search

• Create views and extensions for efficient searching.
• Use filters based on tags or other criteria.

Conclusion

• Automations streamline content management, making large-scale content handling efficient.
• Explore "NoCode Architects" for more tools and community support.