Atlas-1 enables robust future-proof automations, solving the biggest problem that breaks all other automation tools today like UIPath and Microsoft. "Semantic Targets" understand the underlying intent of automations, helping us build better generalized agents.
Cheat Layer
Introducing Atlas-1
Atlas-1 is a new multi-modal model we’ve been training over a year–it 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: https://youtu.be/4LtetnKz0kI TikTok Agent: https://youtu.be/XOEWjR52mOMSales 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/3aNxyjasRRMDesktop Cloud Agents
Scale up operations by cloning your marketing and sales teams across Desktop Cloud Instances in parallel. Stream them directly to your agents management dashboard to manage your teams of AI agents. We’re releasing our Mac/Linux build in the coming months, but until then all users can access Desktop Cloud Agents directly through our agents dashboard.No-Code Hackathon — Free Cheat Layer Desktop Access
Cheat Layer Desktop requires a subscription to access due to the expense and rate limit of Atlas-1, but all hackathon participants gain free access to Cheat Layer Desktop for a limited time this month. Sign up to our 2nd in-person hackathon now to start testing Cheat Layer Desktop and Atlas-1 now for free! Join us for the in-person event in NYC in 2 weeks to launch Cheat Layer Desktop out of beta! https://cheat-layer.devpost.com/We started Cheat Layer during the pandemic to help people go from 0 to 1, to rebuild online using a personal GPT-3 powered software engineer. In the summer of 2021, we were the first startup allowed by openAI to sell GPT-3 for code generation for browser automation. Last April, we won #1 product of the day with the launch of our automation framework Project Atlas. However, it took until this week to finally feel like we solved the original problem and make it easy for completely non-technical people to build businesses and market them using autonomous agents. At the end of the hackathon, on December 19th, we plan to open-source Cheat Layer Desktop and the Project Atlas framework. For the next 48 hours, we’re additionally reducing the task consumption to 0 for all users to encourage everyone to experiment with Atlas-1. Have fun! Youtube: https://youtube.com/cheatlayer 🎥 Discord: https://discord.gg/cheatlayer Chrome Extension: https://chrome.google.com/websto...🔧 Facebook: https://www.facebook.com/groups/... 📱 Twitter: https://twitter.com/cheatlayer 🐦