How to Manage your AI APIs Like a Pro! with Airtable - for Zapier, Make or even code
In this video, we delve into the challenges of organizing AI API calls and AI prompting within applications or automations, focusing on platforms like Zapier and Make. Discover an efficient solution using Airtable for centralized management, which simplifies the update and management of AI automations without the need for manual modifications.
We'll guide you through the setup of an Airtable database, covering crucial fields such as AI name, model name, system prompt, user prompt, temperature, and max tokens. Learn how to integrate this database with Zapier workflows to dynamically pull the latest AI call configurations and streamline your automations.
Additionally, we discuss the importance of maintaining a backup of the database and demonstrate how to set up an automated weekly safe copy of the Airtable records. Watch as we showcase a practical example of a Zap that automates blog post creation using data from the Airtable database, ensuring all fields and parameters are correctly retrieved and utilized.
Join us in exploring the benefits of centralized AI management and share your feedback and suggestions to improve this method further. Simplify your AI automation management today!
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⏰ Chapters:
00:00 Introduction to AI API Call Organization
01:21 Overview of Airtable Database Method
03:14 Advantages of Using Assistants in ChatGPT
04:40 Creating a Safe Copy of Prompts
06:49 Automating Database Updates with Airtable
09:55 Practical Example: Using the Database in Zapier
12:30 Designing the Database Structure
14:49 Using Code by Zapier for JSON Formatting
17:37 Benefits of Centralized AI Management
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#GiveMeTheMic #AI #API #Zapier #Airtable #Automation
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FileName: GMTM166
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