Traditional RPA records a fixed path through your screens: click this coordinate, read that field by its selector, type into the box at this position. It works until a vendor ships an update, a portal is redesigned, or a field moves by a few pixels, and then the bot fails silently and a developer has to open the studio and rebuild it. Coasty takes a different approach. It drives the same applications your bots do, but it reads the screen with AI vision the way a person does, so it finds the right button even after the layout changes, recovers from unexpected dialogs, and keeps going where a scripted bot would break. There is no selector to maintain, no per-process bot to license, and no certified developer required to make a change. You describe the task in plain English, Coasty carries it out across your browser and desktop apps, verifies each step against what appears on screen, and pauses for a human before anything sensitive. It scores 85.60% on OSWorld, the highest published computer-use benchmark, so the agent doing the work is measured against a demanding standard rather than a demo.
Point it at the process your bot runs
Describe the workflow a brittle RPA bot handles today, or hand Coasty the runbook. It opens the same applications and portals by sight, so there is no studio project to port and no selector map to import.
It runs the task by reading the screen
Instead of firing fixed coordinates and selectors, Coasty reads each screen with AI vision, finds the right control even if the layout has changed since the bot was built, and clicks and types the way a person would.
It adapts instead of breaking
When a portal is redesigned, a field moves, or an unexpected dialog appears, Coasty re-reads the page and continues rather than failing silently. It flags a step for review only when it genuinely cannot proceed.
Sensitive steps wait for a human
Payments, approvals, account changes, and anything above a threshold you set are paused for a person to approve, and every action is verified on screen and recorded so you can replay exactly what the agent did.
- Existing RPA workflows run by an AI agent instead of brittle scripts
- No selectors, coordinates, or recorded paths to maintain
- Automatic recovery when a UI changes instead of a silent bot failure
- Plain-English task definitions in place of studio projects
- On-screen verification of every action with a step-by-step audit trail
- Human-approval checkpoints on sensitive or high-value steps
$ what you would type
We have an RPA bot that logs into our supplier portal every morning, downloads the new orders, and keys them into our ERP, and it breaks every time the portal changes. Take over that process: log in, read the new orders, enter each one into the ERP, verify the fields saved, and flag anything you cannot match for me to review. Do not submit anything for payment without my approval.
Computer-use evals and real-world environments.
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