How I Automated My Website With These AI Tools

How I Automated My Website With These AI Tools

by Matt Wolfe

Applied Sciences & Engineering AI — News & Applications UYComputer scienceUYQArtificial intelligence (AI)
🎙 Matt Wolfe 👥 1.0M 📅 December 31, 2022 ⏱ 15 min 👁 30K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

automationAIno-codeMake.comGPT-3

Summary

Matt Wolfe explains how he automates the addition of new tools to his website FutureTools.io. He uses a Google Sheets dashboard as the input, where he pastes URLs of new tools. A Make.com scenario runs every five minutes, watching the sheet for new entries. When a new URL is added, it triggers a series of actions: first, ScrapingBee scrapes the website’s text and title; then, OpenAI’s GPT-3 generates a long description and a short one-sentence summary. The results are written back to the Google Sheet. A second Make.com scenario then creates a short link using Short.io with a UTM source, and finally updates the Webflow CMS with all the generated content, creating a draft page. Matt reviews each draft, adjusts pricing, tags, and cleans up descriptions before publishing. He adds about 20 tools per day, a process that takes about 30 minutes thanks to automation, whereas it would otherwise take hours. The video demonstrates the power of combining AI and no-code automation tools to streamline content management.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a clear, step-by-step demonstration of a practical automation workflow. It shows the integration of multiple tools (Google Sheets, Make.com, ScrapingBee, OpenAI GPT-3, Short.io, Webflow) to automate content generation and publishing. The argumentation is based on the creator’s personal experience and is presented as a case study. The value lies in the concrete example of how AI can be used to reduce manual work, and the explanation of each step is detailed enough for viewers to replicate. However, the video does not discuss potential limitations, costs, or alternative approaches, which limits its comprehensiveness.

Scientific Rigor, Source Quality, Title Accuracy

The video is a tutorial based on the creator’s own workflow, so the primary source is his experience. He mentions the tools used (Make.com, ScrapingBee, OpenAI GPT-3, Short.io, Webflow) and provides links in the description. The information is accurate for the tools as of the video’s date, but it may become outdated. The title accurately reflects the content. The video does not cite external scientific sources, but it is not expected in a tutorial. The creator’s approach is transparent, showing the actual process, which adds to the credibility.

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Title / Content Match

The title accurately reflects the content, which focuses on automating website updates using AI tools.

Quality & Reliability

7/10

The video is a practical tutorial demonstrating a real-world automation workflow. The creator shows actual steps and tools, but the information is based on personal experience and may not be universally applicable. The technical details are accurate for the tools used, but the approach is specific to the creator's use case.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • FutureTools.io — The website being automated, where the tools are listed.
  • Matt Wolfe's blog — The creator's personal blog.
  • Make.com — The automation platform used to connect the tools.
  • FutureTools Desktop Backgrounds — A page on FutureTools.io with desktop backgrounds.

Concurring Sources

  • Make.com — The platform's official site confirms its capabilities for automation and integration.
  • OpenAI API — Official documentation for GPT-3, confirming its text generation capabilities.

Contribution & Novelties

The video offers a practical, real-world example of using AI and no-code automation to manage a content-heavy website. It demonstrates a workflow that combines web scraping, AI text generation, and CMS integration, which is valuable for content creators and marketers. The originality lies in the specific combination of tools and the detailed walkthrough of the automation logic.

Pour aller plus loin :

  • Make.com — The automation platform used, offering visual workflow design and integration with many APIs.
  • OpenAI GPT-3 — The AI model used for generating descriptions; understanding its capabilities and limitations is key.
  • Webflow CMS — The content management system used; learning about its API and automation capabilities can extend the workflow.
  • ScrapingBee — The web scraping service used; useful for extracting website content for analysis.

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Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a slightly lower technical level. This indicates a well-explained tutorial that is accessible to a broad audience while still providing substantial technical detail.

Reliability 7/10