Sit Back and Let AI Do The Work (Automation Guide)

Sit Back and Let AI Do The Work (Automation Guide)

by Matt Wolfe

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQMMachine learning
🎙 Matt Wolfe 👥 1.0M 📅 September 26, 2023 ⏱ 27 min 👁 134K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

automationMake.comOpenAIGmailSlack

Summary

In this tutorial, Matt Wolfe demonstrates how to build AI-powered automations using Make.com. He starts by explaining how his own website, Future Tools, is automated using a combination of Google Sheets, ScrapingBee, and OpenAI. The first automation he builds allows him to tag emails in Gmail with a ’lazy’ label, which triggers a workflow that summarizes the email using GPT-3.5 and sends the summary to a private Slack channel. He shows how to set up the Gmail trigger, configure the OpenAI completion, and format the Slack message with sender details and a link to the original email. The second automation monitors RSS feeds from companies like OpenAI, scrapes the full article content using ScrapingBee, summarizes it with GPT-3.5, and sends a notification to Slack. He explains how to configure the RSS trigger, set up the scraping rules, and schedule the automation to run during business hours. Finally, he adds a text-to-speech step using ElevenLabs to have the email summaries read aloud. The video is practical and aimed at users with some technical familiarity, providing clear step-by-step instructions and real-world examples.

180 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides high practical value by showing concrete, working automations that viewers can replicate. The argumentation is solid, as the creator demonstrates each step live and explains the logic behind the choices, such as using GPT-3.5 for cost efficiency and scheduling checks to avoid unnecessary operations. The automations are presented as solutions to real productivity problems, and the creator’s enthusiasm and transparency about his own use of these tools add credibility. The tutorial is well-structured, with clear explanations of each module and its role in the workflow.

Scientific Rigor, Source Quality, Title Accuracy

The video is a tutorial based on the creator’s personal experience, so the primary source is his own demonstration. He mentions using tools like Make.com, ScrapingBee, OpenAI, and ElevenLabs, and provides links in the description. The information is technically accurate and reproducible, though the video includes a sponsorship segment for Make.com, which is disclosed. The title accurately reflects the content, focusing on automation and AI. The creator does not cite external scientific sources, but the tutorial’s value lies in its practical application rather than academic rigor.

189 words

Title / Content Match

The title accurately reflects the content, which focuses on using AI to automate tasks like email summarization and news monitoring.

Quality & Reliability

8/10

The video is a practical tutorial demonstrating real automations built with Make.com, OpenAI, and other tools. The creator shows actual workflows and provides step-by-step instructions. The information is reproducible and based on direct experience, though it includes promotional content for Make.com and affiliate links. The technical details are accurate and current as of the publication date.

Chapters

Cited Sources

  • Make.com — The main automation platform used in the video, with a promotional offer for viewers.
  • ScrapingBee — Used to scrape web content for the automations, with an affiliate link.
  • ElevenLabs — Used for text-to-speech to read email summaries aloud.
  • Future Tools — The creator's website, which is automated using similar workflows.
  • Future Tools Newsletter — Weekly newsletter mentioned in the video.
  • Future Tools Discord — Community Discord server.
  • Matt Wolfe's Blog — Personal blog of the creator.
  • Mubert — Used to generate the outro music.
  • Tally — Form for sponsorship and media inquiries.
  • Threads — Social media profile of the creator.

Concurring Sources

  • Make.com — The platform used for automation, which is widely recognized for its integration capabilities.
  • OpenAI — The AI provider used for summarization, whose API is well-documented and widely used.

Contribution & Novelties

The video offers a practical, step-by-step guide to building AI automations that combine multiple services, demonstrating how to integrate Gmail, OpenAI, Slack, and RSS feeds. The main novelty is the specific combination of tools and the clear explanation of the workflow, which can be adapted by viewers for their own use. The creator also shares his own automation for his website, providing insight into real-world applications.

Pour aller plus loin :

  • Make.com documentation — Official documentation for Make.com, useful for understanding all available modules and features.
  • OpenAI API documentation — Official documentation for OpenAI’s API, including GPT-3.5 and GPT-4 models.
  • RSS specification — The official RSS specification, useful for understanding how RSS feeds work.
  • ScrapingBee documentation — Documentation for ScrapingBee, the web scraping tool used in the video.
  • ElevenLabs documentation — Documentation for ElevenLabs text-to-speech API.

136 words

Radar Profile

The radar profile shows high scores in information quantity and quality, reflecting the tutorial's practical depth. The technical level is moderately high, indicating the content is accessible to intermediate users. The overall reliability is strong due to the hands-on demonstration and use of established tools.

Reliability 8/10

💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime un enthousiasme marqué pour ce type de contenu, demandant davantage de vidéos sur les automatisations et saluant la valeur pratique des démonstrations.