Teams spend hours gathering information, comparing suppliers, and moving data between websites. AI agents can help, but working out the same steps again on every run adds time, cost, and uncertainty.
With Fous, you describe the work. AI investigates the websites and the requests behind them, writes a workflow, and tests it with real inputs. Once it’s built, code follows those steps each time you run it. New details go in; the workflow already knows what to do.
Your team can build and run workflows in Studio without writing code, connect the accounts your work depends on, and keep internal workflows private. Developers can call the same workflows through an API to use them in existing tools, applications, or AI agents. A single workflow can connect steps across multiple websites.
Our ambition is to index every workflow on the internet. We want the useful things a website lets you do to be as easy to find and use as its pages are today. Each workflow becomes a building block for something larger: a way to automate work across the web without creating a new integration for every task.
The web keeps changing, so this index has to change with it. Our approach uses AI to investigate failures, repair affected workflows, and verify them again. The goal is an index that stays useful: AI maps and maintains the workflows, while code executes them.