How to Automate Email Summaries and OpenAI Blog Alerts with Make.com

TL;DR

Make.com can automatically summarize selected Gmail messages, send the results to Slack, and notify you when OpenAI publishes a blog announcement. The guide uses a Gmail label as the email trigger and also shows how tools such as Scraping B, ChatGPT, Google Sheets, and 11 Labs can work together in automated sequences. Read on for the specific triggers, connections, and outputs used in these workflows.

Transcript

you ever get an email in your inbox you're just too lazy to read it you want somebody to just summarize it for you well I created an automation where I could just tag this in my Gmail with this lazy tag click apply and within a few minutes I get a quick summary of that email but not only that I get the email read by me the sender is offering a free... Read More

Key Insights

• 💌 Automation tools like make.com can streamline email summarization and provide convenient notifications in Slack.
• 🧰 Integrating AI models like GPT 3.5 turbo and scraping tools like scraping B enhances the automation process by extracting relevant content.
• 🤗 Utilizing 11 Labs' text-to-speech capabilities adds an audio element to the automated email summaries, allowing for a more hands-free experience.

Questions & Answers

Q: How can I automate email summaries with Make.com?

Create a new Make.com scenario with Gmail as the trigger and choose the option to watch emails. Connect your Gmail account and configure the scenario to process only messages carrying a label you created for emails that need summarizing.

Q: How can I receive Gmail summaries in Slack?

The automation watches for selected Gmail messages, summarizes their content, and sends a quick breakdown as a Slack notification. This makes the result easy to consume without requiring every incoming email to be summarized.

Q: How do I choose which emails Make.com summarizes?

Create a dedicated label in Gmail and apply it only to messages you want processed. The demonstrated workflow uses a label named “lazy,” so applying that label initiates the summarization flow.

Q: Can the automation read summarized emails aloud?

Yes. The demonstrated automation creates a short email summary and reads it in the creator’s own voice, while the existing workflow also integrates 11 Labs for text-to-speech. This adds an audio output for people who prefer listening to the summary.

Q: How can I automate OpenAI blog updates?

The second automation monitors announcements from the OpenAI blog. When OpenAI publishes an announcement, the workflow automatically summarizes it and sends a Slack notification shortly after publication.

Q: What does Make.com do in these AI automations?

Make.com connects separate tools and arranges them into a sequence that begins with a trigger. In the examples, it coordinates services including Gmail, Slack, Google Sheets, Scraping B, and ChatGPT so information can move between them automatically.

Q: How does the Future Tools website use Make.com, Scraping B, and ChatGPT?

Adding a URL to a specific Google Sheet starts the workflow, and Scraping B extracts content from that page. ChatGPT summarizes the page, creates a short description of the tool, and sends the generated information back to the original row in Google Sheets.

Q: Can I customize the AI summary generated by the automation?

Yes. The demonstrated ChatGPT steps use written prompts to control the output, including a general summary and a short sentence describing what a tool does. Changing those instructions lets the workflow request a different summary format.

Summary & Key Takeaways

• The content discusses the use of automation tools like make.com to summarize emails and notify users of important information.

• It highlights the creation of an automation to summarize emails with the lazy tag in Gmail and send a summary notification to Slack.

• It also demonstrates how to automate the process of receiving blog updates from OpenAI, summarizing them, and sending notifications to Slack.

• The content mentions the integration of 11 Labs to add text-to-speech capabilities to the summarization process.