How to Use Make.com with ChatGPT: Step-by-Step Guide

Learning how to use ChatGPT inside make.com lets you build powerful, automated workflows that turn plain text prompts into emails, reports, content, and more with almost no manual work.

This how-to article walks you through the core ideas from the original make.com ChatGPT tutorial and shows you how to put them into practice in your own scenarios.

Why Connect Make.com and ChatGPT

When you combine ChatGPT with make.com, you can automate tasks that normally require human-style language skills. Instead of copying text into ChatGPT manually, you let workflows send, shape, and use responses automatically.

With the integration between ChatGPT and make.com, you can:

Generate content drafts from inputs in forms, CRMs, or spreadsheets
Summarize emails, tickets, or documents on demand
Transform tone, style, or length of existing text
Support customer service with suggested replies
Standardize or reformat incoming data using natural language instructions

Essential Concepts for Make.com ChatGPT Workflows

Before building a scenario, you need a clear picture of how ChatGPT fits into the make.com automation model.

Modules and Data Flow in Make.com

Every workflow in make.com is a chain of modules. Each module either:

Retrieves data (triggers or search/lookup modules)
Processes or transforms that data
Sends or stores results (actions like email, CRM updates, or document creation)

The ChatGPT module becomes one of these processing steps. Data flows in as prompts and parameters, and a ChatGPT response flows out for the next module to use.

Prompt Structure for Reliable Results

The source article emphasizes that good results depend on how you structure prompts. In make.com, a prompt is usually a mix of static instructions and dynamic data from previous modules.

Effective prompts typically include:

Role or context – who ChatGPT is supposed to act as (for example, support agent, copywriter, analyst)
Goal – what the response should accomplish
Input data – inserted via variables or mapping from earlier modules
Constraints – word limits, tone requirements, or formats such as lists or JSON

How to Set Up ChatGPT in Make.com

To use ChatGPT with make.com, you first connect your OpenAI account and then add the appropriate module to a scenario.

Step 1: Prepare Your OpenAI Access

Create or log in to your OpenAI account.
Generate an API key in your OpenAI dashboard.
Store this key securely; you will paste it into make.com only once.

Step 2: Add the ChatGPT Module in Make.com

Log in to your make.com account.
Create a new scenario from the dashboard.
Click the plus icon to add a module.
Search for OpenAI or ChatGPT, then choose the module that matches the action you need (for example, create a completion or chat response).
When prompted, create a new connection and paste your API key.

Once connected, the ChatGPT module becomes available in all your scenarios inside make.com.

Step 3: Configure Your ChatGPT Request

In the module settings, you will configure:

Model – choose the ChatGPT or GPT model offered in the original make.com article.
Prompt – write your instruction, combining fixed text with mapped fields from earlier modules.
Temperature – control creativity versus consistency of responses.
Max tokens – limit the response length.

Mapping data from previous modules is the key to real automation. For example, you can pull in an email body, a customer name, or values from a spreadsheet row directly into the prompt.

Example Use Cases of Make.com with ChatGPT

The source guide walks through practical examples. Below are common patterns you can build with make.com.

Automated Email Drafting in Make.com

You can have make.com watch a support inbox or form, then send the content to ChatGPT for reply suggestions.

Trigger: New email received or new ticket created.
Extraction: Use a module to grab the subject, sender, and message body.
ChatGPT step: In make.com, ask ChatGPT to draft a reply, specifying tone, length, and any policy rules.
Output: Store the draft in a help desk system or send it to an agent for review.

This keeps humans in control while make.com and ChatGPT handle most of the writing.

Content Generation Workflows in Make.com

If you collect topics from forms or spreadsheets, you can use make.com to send them to ChatGPT and then push results into your publishing tools.

Take a blog idea or product description as input.
Pass fields such as keywords, tone, and audience into the ChatGPT module.
Receive a structured draft, summary, or outline ready for editing.
Save the result to documents, CMS, or project management tools.

By chaining these steps, make.com becomes a content pipeline powered by large language models.

Summarization and Analysis Scenarios

Another pattern from the original article is summarizing long texts. With make.com, you can:

Watch a folder or app for new files or records.
Extract the relevant text.
Send that text to ChatGPT with instructions to summarize, categorize, or detect sentiment.
Store the outcome in a database or send it as a notification.

This works well for call transcripts, meeting notes, long emails, or lengthy forms.

Prompt Engineering Tips for Make.com Users

To mirror the best practices from the original tutorial, focus on clarity when creating prompts in make.com.

Use short bullet lists inside your prompt to describe the task.
Tell ChatGPT exactly how you will use the output.
Ask for specific formats when mapping results to future modules.
Include examples in the prompt if consistency is critical.

Whenever a scenario misbehaves, review both the prompt and the mapped data in make.com to find the mismatch.

Testing and Optimizing Your Make.com Scenario

After configuring your modules, you need to test and refine.

Run the scenario in manual mode to see step-by-step outputs.
Inspect the input and output of the ChatGPT module.
Adjust temperature, max tokens, or phrasing.
Repeat until responses are consistent enough for automatic runs.

The make.com interface shows detailed execution history, which helps you debug prompts and data mappings without guessing.

Scaling Up with Make.com and ChatGPT

Once a workflow works correctly, you can scale it to handle more volume and more complexity.

Add conditional branches based on ChatGPT output.
Log prompts and responses for auditing or training.
Combine several ChatGPT steps for multi-stage processing, such as extraction followed by rewriting.
Integrate additional apps for storage, reporting, or notifications.

As your library of scenarios grows, make.com becomes a central automation hub for AI-assisted processes across your tools.

Further Learning and Resources

To study the original tutorial in full detail, visit the official make.com ChatGPT guide. For broader automation strategy and implementation support, you can also check resources like Consultevo, which covers automation planning, integration patterns, and workflow optimization.

By combining careful prompt design with the flexible scenario builder in make.com, you can turn ChatGPT into a practical, repeatable part of your everyday operations.

Need Help With Make.com?

If you want expert help building, automating, or scaling your Make scenarios, work with ConsultEvo — certified workflow and automation specialists.

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