Unlock the Power of ChatGPT API

Table of Contents

1. Introduction
2. Setting up the Blog Posts Table
3. Creating the Prompt Field
4. Adding the Social Post Field
5. Formatting the Social Post
6. Creating a New GRID View
7. Adding Conditions to the Grid View
8. Installing the Data Fetcher Extension
9. Importing Data with Data Fetcher
10. Configuring the Data Fetcher Request
11. Mapping the Response Field
12. Automatically Running the Request
13. Conclusion

Introduction

In this tutorial, we will learn how to connect the Chat GPT API in Airtable with no code. Chat GPT is an AI model that produces human-like text using deep learning technology. We will use the Data Fetcher extension to bring the Chat GPT information into Airtable.

1. Setting up the Blog Posts Table

To begin, we need to Create a table for the blog posts. Change the table name from "Table 1" to "Blog Posts". Enter the titles of the blog posts You want Chat GPT to create AI descriptions for in the "Name" field.

2. Creating the Prompt Field

Next, we will create a field called "Prompt". Double click on the field next to the names and change it to "Prompt". Select "Formula" as the field Type. Enter the formula for the prompt, which should create an engaging social media post about a blog post with the title as the input. Save the field.

3. Adding the Social Post Field

Now, we will create another field called "Social Post". Double click on the next field and change it to "Social Post". Select "Long Text" as the field type. This is where we will map the AI output. Save the field.

4. Formatting the Social Post

Create another field called "Social Post Formatted". Select "Formula" as the field type. Use the provided formula (found in our tutorial) to format the social media post output. Save the field.

5. Creating a New Grid View

Create a new grid view by selecting the "+" button next to "Grid" on the left-HAND side. Name the view "New Needs Info" and select "Create New View".

6. Adding Conditions to the Grid View

In the filter option, add the conditions "Name Is Not Empty" and "Social Post Is Empty". Click off the conditions to Apply them. This will highlight the applied conditions.

7. Installing the Data Fetcher Extension

On the right-hand side, click on "Extensions" and select the "Add an Extension" button. Search for "Data Fetcher" in the search bar and add the extension.

8. Importing Data with Data Fetcher

Click on the "Data Fetcher" extension and choose to create a new request. Select "Open AI" as the application and enter your API key. Choose the endpoint "Create Chat Message Completion" and title the request as "Fetch Social Media Posts".

9. Configuring the Data Fetcher Request

Choose the "gpt-3.5-turbo" model for the request. In the messages box, provide the Context by setting the role as "system", indicating that Chat GPT should write from the perspective of a social media manager. Add a reference to the blog post prompt field and set the view to "Needs Info".

10. Mapping the Response Field

Set the response field mapping to include the "Social Post" field. Save and run the request.

11. Automatically Running the Request

Upgrade to a paid Data Fetcher account to access the scheduling feature. Once upgraded, authorize the scheduling option and set the frequency and days for the request to run. Save the settings.

12. Conclusion

Congratulations! You have successfully connected the Chat GPT API in Airtable with no code. Now, any new blog titles will automatically update the Airtable base with social media posts generated by Chat GPT. Feel free to reach out to us at datafeter.com if you have any questions or refer to our blog post for more detailed information.

Highlights

• Learn how to connect the Chat GPT API in Airtable with no code
• Use the Data Fetcher extension to integrate Chat GPT with Airtable
• Automatically generate social media posts for blog titles
• Easily map AI output to Airtable fields
• Schedule requests to run automatically for updated content

FAQ:

Q: Do I need coding skills to connect the Chat GPT API in Airtable? A: No, this tutorial does not require any coding skills. The integration can be achieved using the Data Fetcher extension.

Q: Can I generate AI descriptions for existing blog posts? A: Yes, you can enter the titles of the existing blog posts in the "Name" field and Chat GPT will generate AI descriptions for them.

Q: How often will the Chat GPT integration run? A: With the scheduling feature of Data Fetcher, you can choose how often the request should run. It can be set to run daily, weekly, or at custom intervals based on your preference.