Here's a hard truth: most AI agents can't actually use a computer. They pretend they can. They show you fancy demos. Then you deploy them and they fail at the one thing that matters, clicking buttons, typing text, filling forms like a human. That's why 80% of agents are garbage.
The Benchmark Reality Check
I dug into OSWorld results because that's where agents are actually tested on real desktop tasks. The top scores sit around 85%. That's it. Most published agents cluster in the 60-70% range. Some sink below 50%. That means half the time they can't even complete basic workflows. You aren't getting reliable automation. You're gambling on a model that might succeed. That's not a product. That's a toy.
OpenAI Operator and Anthropic's Computer Use Are Flawed
OpenAI's Operator launched with tons of hype. Early tests showed it repeatedly failing to fix its own mistakes. One demo had the agent break a button and then just try clicking it again and again instead of reading the screen and adapting. That's not intelligence. That's broken behavior. Anthropic's Computer Use fared better but still struggles with complex multi-step workflows. Their own docs admit classifiers intervene around 85% of the time. That means the system is constantly watching the agent and blocking it. You're paying for a computer use agent and 15% of its actions are being canceled by a human in the loop. That's absurd.
RPA Tools Are Stuck in 2020
- UiPath and Power Automate still need manual configuration for every screen
- Citizen developers break processes and create shadow IT nightmares
- Enterprise horror stories are everywhere about bots getting stuck
- Updates break existing flows and require weeks of rework
- Costs pile up when you factor in maintenance and failed deployments
Reddit users in UiPath communities openly call out "horror stories" and warn new hires to avoid the platform. That's not how you build a future-proof automation strategy.
The Real Cost of Bad Automation
Enterprise teams spend millions on AI and RPA projects that deliver marginal gains at best. One study found experienced developers think they're 24% faster with AI but real measurements show they're only 19% slower. That's not improvement. That's regression. When you factor in debugging time, rework, and failed deployments, your actual ROI can tank. Worse, bad automation creates invisible bottlenecks. Processes that look automated are actually running with constant human intervention. You're paying for speed you're not getting.
Why Coasty Is Different
Coasty isn't playing the same game as the rest. Our computer use agent scored 85.6% on public OSWorld results. We also hit 82.81% on the official OSWorld-Verified leaderboard. That's the top tier. No one else is close. Most agents are tested on synthetic tasks in controlled environments. Coasty operates on real desktops, browsers, and terminals. We don't need you to provide APIs for every app. We figure it out. You give us a goal. We click, type, and execute. You get reliable automation that doesn't require a team of engineers to maintain.
Coasty Features That Actually Matter
- Desktop app and cloud VMs so you run agents where they work best
- Agent swarms for parallel execution on complex workflows
- Free tier so you can test without committing upfront
- BYOK support for enterprises that care about data security
- Open API that integrates into your existing tooling
Stop wasting money on agents that can't use a computer. OpenAI Operator and Anthropic's Computer Use have serious flaws. RPA tools are stuck in the past. Coasty is the only computer use agent that actually performs at the level you need. Check out coasty.ai and see the difference for yourself. The future of automation isn't about hype. It's about results. And Coasty delivers.
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