A 300-person company loses $5.1 million a year to wasted time. That's not a typo. That's what WorkTime found in 2026. Most of it isn't fun. It's copy-pasting. It's clicking through forms. It's waiting for someone to approve something they could have approved themselves five minutes ago. You don't need more AI hype. You need tools that actually control your computer and do real work.
Why Your 'AI Automation' Is Still Just Fancy Clicking
OpenAI's Operator and Anthropic's Computer Use promise the moon. In practice, they're early, unreliable, and often useless. When I asked OpenAI's Operator to order groceries, it failed repeatedly. It got the address wrong. It missed items. It hallucinated that it had finished when it hadn't. Anthropic's Computer Use has similar issues. It's accurate sometimes, but when it fails, it fails catastrophically. You can't build production systems on tools that work 60 percent of the time. That's not automation. That's gambling.
RPA Isn't Dead, But It's Not What You Think
UiPath and Automation Anywhere still dominate enterprise automation. They're reliable. They're expensive. And they're stuck in the past. Traditional RPA handles rigid, repetitive tasks. It doesn't handle ambiguity. It doesn't handle dynamic UIs. It doesn't handle things that change every day. When companies try to use RPA for anything complex, they hit walls fast. 30 to 50 percent of RPA projects never scale. Cost overruns average 380 percent. That's not automation. That's a money pit.
- RPA works great for simple, fixed processes
- RPA fails badly when UIs change or tasks require judgment
- Enterprise licensing costs make small projects impossible to justify
- Most companies end up with half-implemented bots that nobody maintains
The Computer Use Gap Is Real
The difference between an AI model and a computer use agent is the ability to control a real desktop. OpenAI and Anthropic have released products with that capability. But they're not production-ready. They hallucinate. They make mistakes. They get stuck in infinite loops. You can't trust them with sensitive data. You can't trust them with critical workflows. They're toys. They're demos. They're not tools you can build a business on.
The OSWorld leaderboard shows a massive quality gap between frontier models and actual computer use agents. The top models score 85 to 90 percent on real desktop tasks. OpenAI Operator and Anthropic Computer Use are lucky to break 60 percent. That's a 30-point difference. That's the difference between a tool that works and a tool that wastes your time.
Why Coasty Is Different
Coasty is a computer use agent built for real work, not demos. It controls desktops, browsers, and terminals. It doesn't just call APIs. It actually clicks, types, and navigates. Our in-house model scores 85.6 percent on OSWorld with public results. Independently verified on the official OSWorld leaderboard at osworld-v1.xlang.ai, we hit 82.81 percent. That's higher than every competitor. We're not perfect. But we're close. And we're actually usable. You can deploy Coasty on your own desktop. You can run it in cloud VMs. You can use agent swarms for parallel execution. You can bring your own keys. There's a free tier. This is the kind of automation that pays for itself in weeks, not years.
Stop reading reviews of tools that don't work. Start using an AI computer use agent that actually gets things done. Coasty is the best computer use tool on the market right now. It's fast, reliable, and built for production. If you're serious about automation in 2026, this is where you start. Check it out at coasty.ai.
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