Why You're Overpaying for AI Computer Use Agents (and How Coasty Fixes It)
You just spent $12,000 on a UiPath bot license for one employee. That's insane. You could have given that person an AI computer use agent that does the same work for a fraction of the price. Let me show you the math.
The Hidden Cost of Enterprise Automation
RPA platforms like UiPath and Automation Anywhere charge premium prices because they built their businesses on the idea that automation needs a complex platform. UiPath starts at $25 per month per bot for basic personal automations. Enterprise licenses can run $500 to $1,500 per bot per month. That's $6,000 to $18,000 per employee per year just for the bot license. You're not paying for the robot. You're paying for the platform. The complexity. The maintenance. The licenses. What if you didn't need any of that? What if you just needed an agent that could do the work?
AI Computer Use Pricing: The Real Numbers
AI computer use agents work differently. You pay for compute and model usage. Claude Computer Use follows the standard Claude API pricing. No special computer use markup. No separate license fees. Just tokens. Input tokens charge per character. Output tokens charge per character. It scales with your usage. OpenAI's operator-style agents follow a similar model. You pay for the API calls. No platform license. No bot seat allocation. No complexity. But here is the catch: performance varies wildly. Claude Sonnet 4.6 scores 72.5% on OSWorld. That's a benchmark for AI computer use agents. 72.5% success rate on realistic desktop tasks. That means you're paying for something that fails almost a third of the time.
The 82% Benchmark That Changes Everything
Coasty scores 82% on OSWorld. That puts it ahead of Claude Sonnet 4.6 by nearly 10 percentage points. More importantly, an 82% success rate means fewer retries, less compute wasted, and faster task completion. You're not paying for raw token counts. You're paying for results. Coasty delivers results with a simpler pricing model. It runs as a desktop app or on cloud VMs. It supports agent swarms for parallel execution. You can scale without platform overhead. No orchestrator. No control room. No separate bot licenses. Just an agent that gets the job done.
Here's the brutal fact: if your AI computer use agent fails 30% of the time, you're paying full price for failed work. That's like paying for a taxi that arrives broken down half the time. Coasty reduces that failure rate to about 18%. The math stops being abstract and starts being real.
Why Most Companies Still Pick the Wrong Tool
Sales teams sell complexity. Enterprise software vendors sell platforms. They tell you that automation requires orchestration, monitoring, governance. They bundle everything into a platform that you don't need. You end up with a sophisticated tool for a simple problem. An AI computer use agent doesn't need a platform. It needs to be able to see your screen, click buttons, fill forms, read text, and follow instructions. Coasty does exactly that. It controls real desktops. It works with browsers. It runs in terminals. It handles CAPTCHAs. It works with legacy software that has no API. No platform required.
Why Coasty Exists (and Why It Wins)
Coasty is the computer use agent that skipped the platform bloat and focused on what actually matters: getting tasks done. It uses your own desktop. It works in cloud VMs. You can deploy multiple agents in parallel to scale work. The OSWorld benchmark proves it performs better than the competition. Yet the pricing stays simple. No hidden costs. No per-seat licensing. No platform maintenance fees. You pay for what you use. You get what you pay for. Companies are wasting millions on overpriced RPA and underperforming AI agents. They don't need more complexity. They need a better tool.
Stop paying for platforms that don't deliver. Stop accepting 70% success rates when you can get 82%. Coasty is the computer use agent that proves better performance doesn't require a higher price. Try it for free at coasty.ai and see the difference yourself.