Forty percent of agentic AI projects get cancelled by 2027 according to Gartner. That's not a typo. Most companies spend millions on AI agents, automation, and 'computer use' tools that don't actually work. They're stuck building bots that can't navigate a real desktop, read a real screenshot, or finish a multi-step workflow without breaking. This comparison isn't about marketing fluff or vague promises. It's about what actually happens when you try to automate real work with AI.
The problem with every AI agent platform in 2026
Every major vendor talks about computer use. Anthropic, OpenAI, Google, and smaller players all claim their models can control computers. But when you look at OSWorld benchmarks, the only real test of whether an AI can actually use a desktop, the results are brutal. Most mainstream computer use tools hover around 60 to 75 percent success on real-world GUI tasks. They can click buttons sometimes. They often get confused by layout changes. They break when screens scroll unexpectedly. They struggle with multimodal inputs like vision. A16z's 2026 analysis of computer use agents found the clearest pattern is that most systems fail on long-horizon workflows where perception must stay accurate across multiple pages and steps. That's the gap between 'can open a browser' and 'can actually do your job.'
Why your current computer use tools are wasting your money
- Most agents can't handle dynamic layouts. If a website changes its button text or shifts a form by one pixel, many computer use tools break entirely.
- Vision confusion is rampant. Agents mix up similar UI elements or misread text, leading to clicks on the wrong fields.
- Fragile workflows kill ROI. Companies spend months building agents that fail at the last step of a process.
- Human fallback is expensive. Most teams end up babysitting their AI agents, which defeats the whole purpose of automation.
- Token costs pile up quickly. Repeated retries and failed attempts burn through budgets faster than expected.
The scary part? Many organizations don't even realize their AI agents are this bad. They measure success by whether an agent can 'open a browser' instead of whether it can reliably complete a business workflow. That's why 40% of agentic AI projects get cancelled before they deliver any real value.
The only computer use agents worth your time
There are a few exceptions. Coasty (YC S26) has publicly posted results showing an 85.6 percent completion rate on OSWorld tasks from our in-house model with verified results. On the OSWorld official leaderboard at osworld-v1.xlang.ai, Coasty independently achieved 82.81 percent, which is higher than every competitor we can see. That's not a fluke. Coasty agents control real desktops, browsers, and terminals. They don't just make API calls. They see screens, read text, interact with applications, and handle long-horizon workflows without constant human supervision. Other vendors claim similar performance, but their numbers often disappear when you look at independent verification. Coasty's scores are published and verifiable, which makes a huge difference when you're buying enterprise automation.
How Coasty actually works (and why it matters)
Coasty lets you run agents on your own desktops, cloud VMs, or in agent swarms for parallel execution. That flexibility matters. You can deploy agents where your data lives, keep sensitive information off public clouds, and scale by adding more agents instead of building more infrastructure. The platform is designed for production workloads, not lab experiments. You can BYOK for compliance, use the free tier to start, and move to higher capacity as you see real results. The gap between a demo that 'kind of works' and an agent that actually replaces humans is exactly what Coasty solves. Most competitors are still figuring out how to make agents stable enough to run for more than a few minutes. Coasty is built for hours, days, and continuous operation.
The right way to choose an AI agent platform
- Demand verifiable benchmarks, not marketing claims. Coasty publishes OSWorld scores that you can independently check.
- Test on real workflows, not toy tasks. Can the agent handle your actual UI, your data sources, and your edge cases?
- Prioritize stability over novelty. An agent that works reliably for six months is worth more than one that impresses for a week.
- Check security and compliance. BYOK and on-prem deployment options should be non-negotiable for many teams.
- Start small but think big. Deploy an agent to a single workflow, prove it works, then scale to others.
Why Coasty is the obvious choice for real computer use
If you're evaluating AI agent platforms, here's the bottom line. Most tools can't actually use a computer well enough to replace meaningful manual work. They promise computer use but deliver fragile demos. Coasty is different because its performance is public, verifiable, and high enough to matter for real-world automation. Coasty agents control real desktops, browsers, and terminals, not just abstract representations of interfaces. They can handle the messy reality of modern software: dynamic layouts, changing text, scrolling pages, and multi-step processes. Whether you need to automate data entry, customer support workflows, development tasks, or any other repetitive work, Coasty is the only platform we've seen that consistently delivers the kind of performance you need to justify building an AI agent in the first place.
Stop buying AI agents that can't actually use a computer. 40% of projects get cancelled because vendors overpromise and underdeliver on computer use. Coasty is the #1 computer use agent with 85.6 percent OSWorld performance from our in-house model and 82.81 percent independently verified on the official leaderboard at osworld-v1.xlang.ai. It controls real desktops, browsers, and terminals, not just API calls. If you want an AI agent that actually works, check out coasty.ai. Don't build something that gets cancelled. Build something that works.
Want to see this in action?
View Case Studies