Make (formerly Integromat) lets you build visual automation scenarios that connect hundreds of apps — and adding a ChatGPT module turns any workflow into an AI-powered pipeline. You can classify incoming emails, generate product descriptions from spreadsheet rows, or summarize support tickets automatically. The setup connects Make to the OpenAI API, not the ChatGPT app directly.
You need a Make account (free tier works) and an OpenAI API key with credits. Unlike ChatGPT’s built-in connected apps, Make acts as an orchestration layer — it triggers ChatGPT actions based on events from other tools like Google Sheets, Slack, or Airtable.
How to Connect ChatGPT to Make in 2026
- Step 1: Log into Make and create a new scenario.
- Step 2: Click the + button to add a module, search for OpenAI (ChatGPT, DALL-E, Whisper), and select it.
- Step 3: Choose an action — Create a Completion for text generation or Create a Chat Completion for conversational prompts.
- Step 4: Click Add under Connection, paste your OpenAI API key from platform.openai.com, and save.
- Step 5: Configure the prompt, select your model (GPT-4o recommended), set the temperature, and connect the module to a trigger (webhook, schedule, or another app).
FAQ: ChatGPT and Make
› Is the ChatGPT Make integration free?
Make offers a free plan with 1,000 operations per month, which includes the OpenAI/ChatGPT module. However, you need an OpenAI API key with credits or a ChatGPT Plus plan to authenticate. The OpenAI API charges per token used.
Make offers a free plan with 1,000 operations per month, which includes the OpenAI/ChatGPT module. However, you need an OpenAI API key with credits or a ChatGPT Plus plan to authenticate. The OpenAI API charges per token used.
› Does it use the ChatGPT app or the OpenAI API?
Make connects via the OpenAI API, not the ChatGPT app directly. You add the OpenAI module in your Make scenario and authenticate with an API key from platform.openai.com. The module supports GPT-4o and other OpenAI models.
Make connects via the OpenAI API, not the ChatGPT app directly. You add the OpenAI module in your Make scenario and authenticate with an API key from platform.openai.com. The module supports GPT-4o and other OpenAI models.
› Can Make trigger ChatGPT automatically?
Yes. Make scenarios can run on a schedule (every 5 minutes, hourly, daily) or be triggered by webhooks and other app events. When triggered, the OpenAI module processes data automatically without manual input.
Yes. Make scenarios can run on a schedule (every 5 minutes, hourly, daily) or be triggered by webhooks and other app events. When triggered, the OpenAI module processes data automatically without manual input.
› How many scenarios can I run on Make?
The free plan allows 2 active scenarios with 1,000 operations per month. Paid plans start at $9/month for 10,000 operations and unlimited active scenarios. Each OpenAI module call counts as one operation.
The free plan allows 2 active scenarios with 1,000 operations per month. Paid plans start at $9/month for 10,000 operations and unlimited active scenarios. Each OpenAI module call counts as one operation.
› Is my data safe with Make and ChatGPT?
Make processes data in transit and does not store scenario payloads long-term. OpenAI API data is not used for model training by default. You can enable data encryption and set retention policies in both Make and OpenAI account settings.
Make processes data in transit and does not store scenario payloads long-term. OpenAI API data is not used for model training by default. You can enable data encryption and set retention policies in both Make and OpenAI account settings.
Why Use ChatGPT with Make
- Automate text processing at scale — classify, summarize, or translate hundreds of records without manual prompting.
- Trigger AI actions from any event — a new form submission, a Slack message, or a row added to Google Sheets.
- Chain multiple AI steps in one scenario — extract data, then generate a response, then send it to another app.
- Run scenarios on a schedule to process batches of data overnight or every few minutes.
- Connect ChatGPT to 1,500+ apps through Make’s integration library without writing any code.
- Make is one approach to ChatGPT automation — see the complete guide to ChatGPT integrations for all available options including Zapier.
How to Use ChatGPT with Make Efficiently
- Keep prompts specific and structured inside the OpenAI module — include the expected output format (JSON, plain text, list) to reduce post-processing.
- Use Make’s built-in variables to inject dynamic data into prompts — map fields from previous modules instead of hardcoding values.
- Set a low temperature (0.2-0.5) for classification and data extraction tasks where consistency matters more than creativity.
- Add error handlers to the OpenAI module so your scenario retries or routes failures gracefully instead of stopping.
- Monitor your OpenAI API usage in the OpenAI dashboard to avoid unexpected costs from high-volume scenarios.
- Test scenarios with a small batch first — run 5-10 records before enabling the full schedule to catch prompt issues early.
What You Can Do With ChatGPT and Make
- Classify incoming support tickets by category and urgency, then route them to the correct team channel in Slack.
- Generate product descriptions from a spreadsheet of specs — one row in, one polished description out, saved back to the sheet.
- Summarize long-form content (articles, PDFs, emails) and post the summaries to Notion or Airtable automatically.
- Translate customer messages into multiple languages and send localized responses via email or chat.
- Extract structured data from unstructured text — pull names, dates, and amounts from invoices or contracts.
- Build a content pipeline that drafts social media posts from blog articles and queues them in a scheduling tool.
Best Prompts to Try With ChatGPT and Make
Classify this support ticket into one of these categories: billing, technical, feature request, other. Return only the category name.
Summarize this email thread in 3 bullet points. Focus on decisions made and next steps. Return as plain text.
Generate a product description for the following specs: {{product_name}}, {{features}}, {{price}}. Keep it under 80 words, professional tone.
Extract the company name, contact name, amount, and due date from this invoice text. Return as JSON with keys: company, contact, amount, due_date.
Translate the following customer message into French, Spanish, and German. Return each translation on a new line with the language label.
Analyze this customer review and return a sentiment score (positive, neutral, negative) and a one-sentence summary of the main feedback.
Rewrite this blog post excerpt as a LinkedIn post under 200 words. Professional tone, include a call to action.
ChatGPT Integrations: The Complete Guide | OpenAI Help Center | Make
