Cheat Layer

Project Atlas is the core of the product. Instead of drawing a flowchart, you write a goal and a few steps, and the builder assembles the nodes: open a tab, click a field, type a value, loop through rows, save to a sheet. Each node can be edited by hand afterward, which matters when the first draft is close but not exact. The builder also generates a sample curl request, so the same agent can be triggered from another service.

Most browser automation breaks when a site redesigns a button or renames a field. Cheat Layer describes targets in English, such as "the submit button" or "the price column," and a language model maps that description to the page at run time. A semantic target is looser than a CSS selector, which makes it more forgiving after a redesign and less precise when two elements look alike. Naming the surrounding section in your instruction fixes most of those mix-ups.

The agent library covers the jobs small teams most often want to hand off, and each AI marketing agent or AI sales agent arrives with its own setup form. A TikTok marketing agent posts and tests content daily for $9 per month. A cold outbound agent, still listed as coming soon, is priced at $149 per month for 10,000 emails. Sales agents run conversations over email, SMS, embedded chat, and phone, and the company reports reply rates that beat its own benchmark tests against Apollo. The catch is that these agents work best when you feed them a clean list and a clear offer, not a vague goal.

Live Mode treats a build request like a conversation with a developer. Ask for a landing page, get a working page in the browser, then ask for a pricing table, a calculator, or a different font. Finished pages are hosted and can be shared with a link, and the same flow produces small apps, Chrome extensions, and presentation decks. Version control is limited, so export or connect GitHub and Vercel when a project starts to matter.

Every Open Agent Studio instance runs an Agents API. You post a JSON body with your key, a goal, and a list of actions, and the response returns the output data plus the verification steps for each action. Scheduling accepts a cron expression, and agents can also be started by webhooks, Zapier, or a Google Sheets task. That makes Cheat Layer a plausible RPA alternative for a queue of small scripts, as long as you handle retries and error alerts yourself.

Cloud agents run on Cheat Layer's servers rather than your laptop. The main plan includes one desktop cloud server with 200 agent runs per day, priced at a $0.10 CPM, and extra servers cost $3 per day. Open Agent Cloud adds a neat trick: upload a screen recording and it drafts an agent from the actions in the video, then runs the schedule across as many clones as you need.

Agents can be published and sold. The Creator Program pays 30% recurring revenue plus $1 per 1,000 views when you run a prebuilt agent that promotes Cheat Layer, and the community side lets users share automations as "cheat codes." For agencies, that turns a working internal workflow into a small product. For buyers, it means the library grows without the vendor building every integration.