How software teams ship faster with actors
An actor is an AI user with its own browser and inbox. Point it at any flow with a URL and it works through it, then shows you the step where it got stuck, so the fix lands before the release rather than after it. Here are seven jobs teams hand to actors, each with the requirements you would write and where it stops.
Test your signup and onboarding as a new user
An AI actor signs up for your product cold, with its own inbox and a real browser, and shows you every step where a new user would stall.
Find the step where your checkout loses people
Actors go through your funnel from landing page to confirmation as the customers you want, and show you the screen where each one stopped.
Test apps and prototypes built with AI
Publish the app from v0, Figma Make or a Claude artifact and have actors work through it before anyone else does.
Check every pull request in a real browser
Run a checklist against each preview deployment and post the result on the pull request, so a regression shows up before merge.
Test how AI agents get on with your site
Send an AI agent through your site with a task and see the step where it gives up, before the agents your customers use find it.
Check every page against your brand and design system
Give a project its guidelines and every design review applies them the same way, on live pages and Figma frames, with each finding citing the rule.
Test staging and internal tools behind your firewall
Run actors in a browser on your side of the firewall, so staging, admin panels and intranets get tested with no inbound firewall changes.
Try it on your own site
Give an actor your URL. It opens a real browser, works through the site, and shows you every step it took.
Free to try, no sign-up needed.