Harness the Power of GPT-4 API in Airtable

Table of Contents

1. Introduction to GPT4 API
2. Creating a Blog Posts Table in Airtable
3. Connecting GPT4 API to Airtable with No Code
   1. Creating the Prompt Field
   2. Adding the Introduction Field
   3. Formatting the Introduction Field
   4. Creating a New GRID View
   5. Setting up Filters for the Grid View
4. Installing Data Fetcher Extension
   1. Adding the Data Fetcher Extension
   2. Creating a Data Fetcher Request
   3. Authorization and API Key
   4. Selecting the Open AI Model
   5. Creating an Input Message for GPT4
   6. Setting the Output Table and Field
   7. Response Field Mapping
5. Running Data Fetcher Request and Importing Results
6. Automating the Process with Data Fetcher Scheduling
   1. Upgrading to a Paid Data Fetcher Account
   2. Setting up Data Fetcher Scheduling
7. Conclusion

Introduction to GPT4 API

GPT4 is the latest AI language model developed by OpenAI. As an API, it allows developers to build applications and services using the powerful GPT4 technology. In this tutorial, we will learn how to connect the GPT4 API in Airtable with no code, enabling us to leverage the capabilities of GPT4 within our Airtable bases.

Creating a Blog Posts Table in Airtable

To begin, we need to set up a table in Airtable to store our blog posts. This table will serve as the foundation for connecting GPT4 to Airtable. We can Create a new table called "Blog Posts" and populate it with some sample blog titles.

Connecting GPT4 API to Airtable with No Code

Now that we have our Blog Posts table set up, we can proceed to connect GPT4 API to Airtable without writing any code. The following steps will guide us through the process.

Creating the Prompt Field

The first step is to create a field in our table to store the Prompts for GPT4. This field will provide the necessary input for the API to generate content. We can name this field "Prompt" and set its Type to "Formula". By referencing a formula available in our blog post, we can automatically populate the Prompt field with Relevant information.

Adding the Introduction Field

Next, we need to add a field to store the introductions generated by GPT4. We can name this field "Introduction" and set its type to "Single Line Text". The Introduction field will hold the initial output of GPT4 Based on the prompts provided.

Formatting the Introduction Field

To enhance the formatting of the introduction text, we can create another field called "Introduction Formatted". Its type will also be a formula, and we can specify a formula that formats the text in a desired way. This will ensure that the introductions generated by GPT4 are presented properly in our Airtable base.

Creating a New Grid View

To better Visualize and manage the blog posts that need introductions, we can create a new grid view. This view will display only the records that require an introduction, making it easier for us to track our progress.

Setting up Filters for the Grid View

In the grid view, we can set up filters to display only the blog posts that meet specific conditions. For example, we can filter the view to Show only the records where the name is not empty and the introduction is empty. By applying these filters, we can focus on the blog posts that need introductions.

Installing Data Fetcher Extension

In order to connect GPT4 API to Airtable seamlessly, we will need to install the Data Fetcher extension. Follow these steps to install the extension and configure it for use.

Adding the Data Fetcher Extension

To begin, click on the extensions option in the top right-HAND corner of Airtable. From there, select "Add an Extension". In the search bar, type "Data Fetcher" and click on the extension when it appears. Then, click the "Add" button to install the Data Fetcher extension.

Creating a Data Fetcher Request

Once the extension is installed, we can create our first data fetcher request. Click on the Blue button to start creating a request. In the application dropdown menu, select "Open AI". Under authorization, we will need to input our Open AI key, which can be obtained from our Open AI account overview. Paste the API key into the input box and select "Create Chat Message Completion" as the endpoint.

Authorization and API Key

Before proceeding, it's worth noting that You will need an Open AI API key to access GPT4. If you don't have one, you can join the waitlist on the Open AI Website. For this tutorial, we assume that you already have access to GPT4 and have obtained an API key.

Selecting the Open AI Model

In the data fetcher request, we need to select the GPT4 model from the dropdown menu. This ensures that our request uses the GPT4 technology for generating content.

Creating an Input Message for GPT4

The input message for GPT4 instructs the AI on how to create the messages and from what perspective. For this example, we will input a system that identifies the AI as an expert financial copywriter. This instruction saves time by initially explaining the purpose of the AI system. You can find more examples and instructions in the blog post on our website.

Setting the Output Table and Field

In the data fetcher request, we need to configure the output table and field where the generated content will be stored. For this example, we will set the table as "Blog Posts" and the field as "Prompt". This ensures that the introductions generated by GPT4 are saved in the correct field of our Airtable base.

Response Field Mapping

The response field mapping allows us to choose which fields from the API response we want to import into our Airtable base. In this tutorial, we will only import the message field. We can map this field to the existing "Introduction" field in Airtable, ensuring that the generated introductions are stored in the designated field.

Running Data Fetcher Request and Importing Results

After setting up the data fetcher request and configuring the fields, we can run the request and import the results into our Airtable base. This step retrieves the introductions generated by GPT4 and stores them in the designated field. By running the request, the generated introductions will be populated automatically.

Automating the Process with Data Fetcher Scheduling

To streamline the process and ensure that the introductions are always up to date, we can automate the data fetcher request using the scheduling feature. This feature allows us to run the request at regular intervals without manual intervention.

Upgrading to a Paid Data Fetcher Account

To access the scheduling feature, we need to upgrade to a paid Data Fetcher account. Upgrading provides additional benefits and unlocks the scheduling tool for all requests. Follow the instructions on the Data Fetcher website to upgrade your account.

Setting up Data Fetcher Scheduling

Once you have upgraded your account, you can enable the scheduling feature for the data fetcher request. Simply open the extensions option in Airtable and select the data fetcher request. In the settings for the request, you will now see a schedule option. Authorize the scheduling tool and grant access to your Airtable bases. Set the desired frequency for the request to run automatically, keeping all records up to date without manual effort.

Conclusion

In this tutorial, we have learned how to connect the GPT4 API in Airtable with no code. By creating a table to store blog posts, setting up the necessary fields, installing the Data Fetcher extension, and configuring the request, we can seamlessly integrate the power of GPT4 into our Airtable base. By using the scheduling feature, we can automate the process and keep our introductions up to date without manual intervention. This allows us to leverage the capabilities of GPT4 for content generation and streamline our workflow in Airtable.

Highlights:

• Learn how to connect the GPT4 API in Airtable with no code
• Create a table in Airtable to store blog posts
• Set up fields to store prompts and introductions
• Install the Data Fetcher extension for seamless integration
• Configure the data fetcher request for GPT4 API
• Schedule automated updates for content generation
• Streamline your workflow in Airtable with GPT4 integration

FAQ:

Q: Do I need coding knowledge to connect GPT4 API in Airtable? A: No, this tutorial will guide you through the process of connecting GPT4 API in Airtable without requiring any coding knowledge.

Q: Can I automate the process of generating introductions for My Blog posts? A: Yes, by using the scheduling feature of the Data Fetcher extension, you can automate the generation of introductions for your blog posts in Airtable.

Q: How do I obtain an API key for GPT4? A: To obtain an API key for GPT4, you can join the waitlist on the Open AI website. Once you have access to GPT4, you can obtain the API key from your Open AI account overview.