Getting Started with Cheat Layer Desktop

Cheat Layer Desktop ships with Atlas-1, a new multi-modal model that enables LLMs like GPT-4 Vision to perform precise actions and build robust, future-proof, autonomous agents.

Semantic Targets

Semantic targets are the key that gives LLMs like GPT-4 vision the ability to execute precise actions. Atlas-1 was trained to detect UI elements that are likely to match the intent of the next target to enable “Semantic targets,” which distill targets down to their underlying intent in language rather than code. This solves a big problem that breaks all other automation tools today, including UIPath and Microsoft, when services inevitably change their code or designs. Previously, automation tools used targeting strategies like CSS selectors, Xpath, and even computer vision, but all of these fail when services update their design.Since semantic targets still translate potential targets the same even if you completely change the design of the website, this finally enables building robust future-proof automations. Since these semantic targets operate in language, this also enables LLMs like GPT-4 to directly use them to perform precise actions.

Product Agents

We built our entire agents dashboard using “Live mode,” which enables building any complexity of product step-by-step like speaking to an engineer. Desktop Live Mode enables generating the backend as well as front end and hosting the entire service locally on your PC. Users have generated Chrome Extensions, Ios Apps, Android Apps, Cryptocurrency contracts, games, and AI Saas services. Atlas-1 takes Live mode on Desktop a step further and actually visually checks the output to iterate until it matches the intended goal.

Marketing Agents

The goal of most social networks is to get users to stay on their app to sell more ads. They accomplish this using algorithms that have gotten very good at finding good content and matching it with an audience for you. Our marketing agents scrape your profile of previous posts(or competitor's posts) to automate a/b testing and generate video/images/text that are highly likely to get the most engagement based on your history. By scheduling this agent daily, it can constantly iterate better content and drive traffic to grow any brand on autopilot.

Twitter Agent:

TikTok Agent:

Sales Agents

Our sales agents are getting 2X the reply rates vs Apollo.io with personalized conversations and instant responses. Deploy sales agents that learn what is high converting copy over time across Email, SMS, Embedded Chat with Voice, and Phone. We’ve had leads replying to agents 5+ times and making deals entirely without input. Similar phone agent services charge $5k upfront and $16/hour for worse technology, but all subscribers can easily set up their own GPT-4 powered phone sales agent servers with twilio for $.01/minute. GPT-4 phone sales agent: https://youtu.be/3aNxyjasRRM

Mac Install Instructions

1. Go to System Preferences > Security & Privacy.

2. Click the Privacy tab.

3. Scroll through the list on the left to find Full Disk Access or Files and Folders.

4. Click the lock icon at the bottom left to make changes (you may need to enter your administrator password).

5. Check if terminal and cheatlayeror a related process is listed and has a checkmark next to it. If not, you can add it by clicking the plus sign (+) and navigating to the application in your Applications folder.

6. Add "terminal" to the "accessibility" and "screen recording" lists.

Then click the "General" tab, and click run apps from the App Store and approved developers.

Windows Install Instructions

Install Python 3.10

You need to install python 3.10 to enable agents to install any arbitrary python library when solving general problems. You can get Python 3.10 from the Windows Store.

Windows Store Python 3.1

Step 1: Download the latest Desktop Version

Download the Software: Visit the official Cheat Layer website and download the latest version of Cheat Layer Desktop. To get the latest version of Cheat Layer Desktop. Navigate to the cheat layer web page, click on the option for interactive onboarding, and then proceed to download Cheat Layer Desktop.

Step 2: Download and Decompress

Run the Installer: Locate the downloaded file and decompress the file.

Extracting Cheat Layer Desktop

Follow the on-screen instructions to finish the decompression process.

Step 3: Launch Cheat Layer Desktop

Initiating Cheat Layer Desktop for the first time involves navigating through Windows security prompts. Upon launching the application, Windows may display security warnings. Users should select "More info".

Then select the option "Run anyway"

Then, follow this quick start guide to dive deeper into Cheat Layer Desktop:

Minimum Requirements

Windows 11

i5 Intel CPU (llama.cpp does not support ARM cpus currently, but you may be able to compile the dll yourself for Surface laptops)

8 GB RAM

Python 3.10

OSX

Mac M1 CPU

Mac Intel CPU

8 GB RAM

Python 3.10 Chrome Extension Installed Locally in new Chrome Profile 100% Display Scale

Cheat Layer Desktop requires users to keep the display scaling set to 100%.

Single Monitors and Resolution

We currently only support single monitor agents, but in the future we can train multi-monitor agents. Please ensure you use one monitor and the same resolution the agent creator uses for publishes agents.