Cheat Layer

Atlas identifies target profiles on LinkedIn based on keywords.

System scrapes profile data including recent posts.

LLM generates a personalized message referencing their last post.

RPA engine sends the message and tracks response in a Google Sheet.

Semantic selectors identify price and address fields on Zillow and Redfin.

Agentic runner navigates pagination and solves captchas.

Data is normalized and pushed to a custom Webflow dashboard via Webhook.

Desktop RPA monitors a Stripe webhook for new sales.

Computer vision locates the input fields in the legacy desktop ERP.

System 'types' the data and clicks save, logging the transaction ID back to the cloud.

Cloud runner checks 10 competitor websites hourly.

LLM extracts price data even if HTML structure changes.

If competitor price drops, system automatically logs into Shopify and lowers own price by 1%.

Custom GPT is trained on company documentation and user DB.

When a ticket arrives, the agent automatically scrapes the user's latest activity.

Agent drafts a response with the solution and provides it to the human staff for approval.

Detects new RSS feed entry.

LLM rewrites content for Twitter, LinkedIn, and Instagram styles.

RPA browser engine logs into each platform and posts, including tag selection.

Desktop RPA logs into bank portals using secure vault credentials.

Scrapes balance and transaction history.

Populates an Excel template and emails it to the CFO.