5 "BORING" AI Automations To Sell For $1.5K+ Each in 2025

Summary

This video showcases an advanced AI-powered automation process to generate high-quality content for blogs. The workflow uses OpenAI to create outlines, refine sections, and generate images for each part of an article. The content is formatted, aggregated, and exported into Google Docs or WordPress for easy publication. Additionally, the video demonstrates an email categorization system using AI to automate email sorting and labeling, improving business efficiency. The speaker also highlights the potential value of selling these automation systems to businesses, emphasizing their practical applications and high market demand.

Takeaways

• 😀 AI is used to automate content creation by first gathering data, generating outlines, and progressively improving the content quality.
• 😀 The system generates markdown outlines, enhances them with AI, and then breaks them into sections for detailed content creation.
• 😀 Each article section is created one by one, with AI writing content for every heading, making it a cyclical process.
• 😀 Images are generated for each section based on AI summaries, making the articles visually engaging and informative.
• 😀 After content and images are generated, they are aggregated and formatted into HTML, which can then be exported to Google Docs or published to platforms like WordPress.
• 😀 A simple email categorization system is created to automatically categorize incoming emails, improving workflow and reducing email bottlenecks.
• 😀 The AI email categorization system sorts emails into predefined categories like 'Sponsorship Requests' and 'Invoices,' streamlining business communication.
• 😀 Despite automation, it's suggested that a human review is important to improve content quality and address minor issues in formatting.
• 😀 The content generation system can be sold as a service, with potential to make significant money by offering these AI-driven solutions to businesses.
• 😀 The speaker's 'Maker School' program offers step-by-step guidance to help individuals build and sell similar automation systems, with daily accountability and structured tasks.
• 😀 The key to success in automation services is solving specific customer problems, allowing businesses to operate more efficiently and profitably.

Q & A

What is the main purpose of the AI-driven system described in the video?

The main purpose of the system is to automate the process of content creation, specifically for blog posts. It uses OpenAI’s models to generate structured outlines, write article sections, and even create images for each section, ultimately improving the efficiency of content production.

How does the system create a blog post from scratch?

The system starts by gathering high-ranking articles on a specific topic, like Scotland cabins, and then extracts and formats outlines. These outlines are progressively refined using OpenAI’s models, breaking down the content into sections. Each section is then written by feeding headings into the AI, followed by summarizing and generating images for each section.

What is the significance of the 'cyclic generator' approach mentioned in the script?

The cyclic generator approach refers to the process where the AI iteratively improves the quality of the content by refining the outlines and writing sections step-by-step. This iterative process ensures the content becomes more comprehensive and detailed, ultimately producing a higher-quality article.

Why does the system include image generation for each section?

The system generates an image for each section to enhance the visual appeal of the blog post and make the content more engaging. The image generation is tied to the summary of the section, helping to visually represent the content and improve the overall user experience.

What happens if the OpenAI image generation module times out or rate limits?

If the OpenAI image generation module times out or is rate-limited, the solution is to upgrade to a higher-tier OpenAI plan, such as tier two, which allows for a higher number of API calls and faster processing. The speaker suggests upgrading to avoid interruptions if you frequently use AI in content creation.

What is the final result of the content generation process?

The final result is a fully structured blog post, complete with headings, sections, images, and a well-organized format. The blog post can be exported as an HTML file, formatted in a Google Doc, or directly published to platforms like WordPress, depending on the user’s preference.

Why does the speaker prefer to involve a human in the final publishing process?

The speaker emphasizes that involving a human in the final publishing process helps catch minor mistakes and improves the quality of the article significantly. Despite the automation, human oversight adds a layer of quality control that makes the content more polished and professional.

What is the purpose of the email categorization system shown in the video?

The email categorization system is designed to help small and mid-size businesses manage their inboxes by automatically categorizing incoming emails into predefined labels like 'Sponsorship Requests', 'Invoices', and 'Sales Emails'. This reduces the clutter in the inbox and helps business owners stay organized.

How does the email categorization system work?

The system works by monitoring incoming emails, forwarding them to a webhook, and then categorizing them using AI. The AI analyzes the content of each email and assigns it to one of several categories. Once categorized, the email is moved into the appropriate folder or label within the email service.

What is the potential value of the automation systems discussed in the video?

The automation systems, including the content generation and email categorization tools, offer significant value to businesses by saving time and increasing efficiency. These systems are scalable, allowing users to sell them to clients for substantial amounts. The speaker notes that such systems can be sold for anywhere from $1,500 to $10,000 or more, depending on the complexity.