This video provides a comprehensive guide on automating tasks using ChatGPT and Make.com. The tutorial demonstrates how to connect ChatGPT to Airtable (a relational database) to both receive and send information, eliminating manual data transfer. The speaker emphasizes the adaptability of this method to various applications available through Make.com.
Connecting ChatGPT to External Applications: The video explains how to use ChatGPT's GPT functionality to connect to and interact with external applications like Airtable, Google Sheets, and more via Make.com. This allows for automated data transfer and interaction without manual copying and pasting.
GET and POST Requests: The tutorial details how to set up both GET requests (retrieving data from an application) and POST requests (sending data to an application) using Make.com's webhooks. This bidirectional communication enables dynamic data exchange.
Creating Custom GPTs and Actions: The process of creating a custom GPT within ChatGPT and subsequently setting up actions within that GPT to manage the data flow between ChatGPT and external applications is explained step-by-step.
Dynamic Filtering and Schema Creation: The video shows how to utilize dynamic filtering in Make.com and generate the necessary schema in ChatGPT to effectively manage and process data based on user requests. This enables refined control over the data being transferred.
Prompt Engineering for Automation: The tutorial highlights the importance of prompt engineering when instructing ChatGPT to manage the automation. Well-crafted prompts are crucial for accurate and efficient data handling. The speaker provides example prompts for both GET and POST requests.
This video demonstrates automating data exchange between ChatGPT and external applications using Make.com. By creating a custom ChatGPT GPT and defining actions with GET and POST requests, you can build workflows to pull data from (e.g., Airtable) and send refined data to (e.g., another Airtable database) other applications. The process involves crafting specific instructions and schema within ChatGPT, configuring Make.com's webhooks and modules (including array aggregators and JSON conversion), and using dynamic filters for refined data control. The video provides prompt templates to streamline schema and instruction creation, enabling you to automate interactions with numerous applications beyond the Airtable example shown.
