Cheat Layer

Cheat Layer is an advanced AI-based tool that transforms how businesses approach process automation. Utilizing a custom-trained GPT-3 model known as Project Atlas, it allows users to automate a wide …

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About Cheat Layer

Cheat Layer is an advanced AI-based tool that transforms how businesses approach process automation. Utilizing a custom-trained GPT-3 model known as Project Atlas, it allows users to automate a wide range of tasks using natural language commands. This tool is particularly beneficial for marketing teams, sales teams, and businesses that aim to streamline their operations. Cheat Layer’s capabilities include automating content posting to social media, enhancing brand growth strategies, and optimizing sales team functions. One of its standout features is the inclusion of ‘scraper cheat codes’, which enable users to add functionalities like lead collection and Canva automation seamlessly into their workflows. Offering flexible pricing with monthly and yearly plans, and custom options for enterprise needs, Cheat Layer is accessible across multiple platforms including Mac, Windows, Linux, Google Sheets, and as a Chrome Extension. It provides a user-friendly interface for automation, allowing businesses to concentrate on strategic goals rather than the technical aspects of process automation.

Use Cases

Use Case 1: Automated Multi-Platform Content Repurposing

Problem: Content creators and brands often struggle to maintain a presence across multiple platforms (YouTube, TikTok, Instagram) because manually editing and formatting long-form videos into short-form clips is time-consuming and expensive.
Solution: Cheat Layer uses its marketing agents to automate the "repurposing" pipeline. It can take a single source (like a YouTube video or a Loom recording) and automatically generate hundreds of viral-style short videos, testing different styles to see which performs best.
Example: A YouTuber uploads their weekly 20-minute podcast. Cheat Layer’s agents automatically identify the most engaging segments, crop them for TikTok/Reels, add captions, and post them across different accounts to A/B test which "hook" generates the lowest CPM.

Use Case 2: Autonomous Lead Qualification and Sales Outreach

Problem: Sales teams often spend hours manually following up with cold leads, many of whom are not a good fit. This manual "vetting" process delays response times for high-quality prospects.
Solution: The tool deploys autonomous Sales Agents that use email, SMS, and even embedded voice to have personalized, natural-language conversations with leads to qualify them based on specific criteria.
Example: A SaaS company connects Cheat Layer to their sign-up form. When a new lead enters, an autonomous agent immediately texts them to ask about their team size and budget. If the lead meets the "Enterprise" criteria, the agent automatically sends a meeting invite; otherwise, it provides a link to the self-service documentation.

Use Case 3: Building and Selling Custom Browser Extensions (SaaS-in-a-Box)

Problem: Many professionals have great ideas for internal tools or productivity "hacks" but lack the technical engineering skills to build, host, and sell them as software.
Solution: Using "Project Atlas," users can describe a specific automation or tool in plain English. Cheat Layer generates the underlying code and can package these automations into standalone Chrome extensions or desktop apps that the user can then sell to others.
Example: A real estate agent describes a tool that "scrapes new listings from Zillow, compares them to local tax records, and saves the data to a Google Sheet." Cheat Layer builds this as a Chrome extension, which the agent then sells to other realtors as a monthly subscription service.

Use Case 4: Automated SEO Authority Building via Scientific Data

Problem: Organic traffic is hard to earn without high-quality, data-driven content, but researching news and scientific papers to write original blog posts is labor-intensive for small marketing teams.
Solution: Cheat Layer can be programmed to monitor specific news sources or scientific repositories and automatically generate SEO-optimized blog posts based on the latest findings.
Example: A health and wellness brand sets up an automation to monitor "PubMed" for new studies on collagen. Every time a relevant paper is published, Cheat Layer generates a 1,000-word SEO-friendly summary, creates a matching image using its image generator, and publishes it to the brand’s blog to capture organic search traffic.

Key Features

  • Natural language automation generation
  • Autonomous cloud marketing swarms
  • Convert automations into sellable apps
  • Cross-platform desktop and browser RPA
  • Automated cross-platform content repurposing
  • AI-driven lead generation agents
  • Resilient self-healing automation framework
  • Iterative AI product development mode

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