Your AI Agent Is Watching You. Are You Watching It? (The Computer Use Nightmare)
40% of workers waste a quarter of their week on manual, repetitive tasks. That is billions of dollars evaporating every single day. You know this. You've seen it in your own company. Data entry. Copy-paste. Click-click-click. And now you're supposed to trust an AI computer use agent to do it better? The problem is nobody is watching what your agent actually does. You're flying blind.
The Observability Gap Is Killing Your Budget
Most companies treat AI agent monitoring like basic server uptime. Is the process running? Did anyone get an email? They miss the real failures. Hallucinations. Wrong clicks. Infinite loops. Tools like Elastic and Datadog are trying to plug the hole, but they're still thinking in the old world of deterministic systems. An AI agent doesn't follow predictable code paths. It reasons. It guesses. It sometimes fails in ways no one anticipated. Your dashboards show success. The reality is chaos hidden behind a green status circle.
Real Agents Fail in Ways You Don't Expect
- ●Agents get stuck in infinite loops clicking the same button over and over
- ●They hallucinate data that looks plausible but is completely wrong
- ●Screens change layouts and the agent clicks the wrong thing
- ●Token costs spiral while the agent wanders aimlessly
- ●Human operators spend more time fixing agent mistakes than doing the work themselves
A Reddit user recently shared that Uber burned its entire 2026 AI coding budget in just four months. That is not a benchmark. That is a disaster waiting to happen. No observability. No rate limiting. No human in the loop. Just blind spending.
RPA Is Not the Answer Either
UiPath and other RPA vendors are trying to bolt AI on top of old screen scraping tech. It shows. Users complain that table extraction fails when scraping multiple pages. Headless browser support is still a headache. RPA was built for predictable workflows. AI agents are unpredictable by design. The hybrid approach feels like duct tape on a broken machine. You're still manually configuring every click. You're still writing if-then logic that breaks when a UI changes. You're not getting the freedom you thought you bought.
Why Coasty Exists
You need a computer use agent that doesn't just guess. Coasty.ai is built for real desktop environments. Our in-house model hit 85.6% on OSWorld with public results. We also scored 82.81% independently verified on the official osworld-v1.xlang.ai leaderboard. That is higher than every competitor we've seen. Coasty doesn't need you to hand-code every step. It observes the screen. It plans. It executes. And it gives you visibility into what it's actually doing. You know why it clicked that button. You see where it got confused. You stop flying blind.
Stop treating your AI agent like a black box that magically makes everything better. It won't. If you don't monitor what it's doing, you're going to spend millions on something that wastes even more. Get observability. Get a real computer use agent. Get Coasty.ai. It's the only way to stop bleeding money on automation that doesn't work.