Why Synthetic Data Is Critical for Evaluating and Red Teaming AI Agents
Real user sessions are scarce and expensive. Synthetic data lets teams stress-test agents at scale without privacy risks or bias.
4,433 stories
Real user sessions are scarce and expensive. Synthetic data lets teams stress-test agents at scale without privacy risks or bias.
Your manual QA team is costing you millions. 47% of releases get delayed. 34 production bugs every year. Here's how AI can fix it faster than you can ship a feature.
Self-improving agents need fresh, labeled data. Synthetic data lets teams scale evaluation and training loops faster than real data alone.
Learn how to secure your Coasty Computer Use API requests with scoped keys and manage costs through a prepaid USD wallet. Build resilient agents that interact with real UIs.
Legacy RPA bots break every time the UI changes, forcing constant rebuilds. Computer use agents see the screen and adapt, letting you automate order-to-cash without the maintenance treadmill.
Legacy RPA hits a hard limit on scale and exception handling. Computer use agents see the screen and adapt, turning every SOP into an automation. Here is what changes for enterprise teams.
Traditional RPA breaks when the UI changes and a developer has to rebuild it. Computer use agents see the screen like a human, follow any SOP, and recover from errors. Here’s how to move without the risk.
RPA bots in banking break when UIs change and stall on exceptions. Computer use agents see the screen, adapt to updates, and follow SOPs, making them the durable path forward.
RPA still rules stable, high-volume backend work. But for changing UIs, SOP-driven tasks, and exception-heavy processes, computer use agents are the durable answer. Learn where each wins and how to plan the right mix.
Connect Coasty to Cursor, Claude Desktop, or other MCP clients to build computer use agents that see the screen and act like humans. Control real desktops, browsers, and terminals from your AI IDE.
Most enterprises already have the automation they need in their standard operating procedures. The real question is how to convert those brittle RPA bots into durable computer use agents that survive UI changes and exception-heavy workflows.
Traditional RPA creates a maintenance treadmill. Computer use agents see the screen and adapt, letting you run high-volume bots safely while you experiment with new agents on changing UIs and SOP-heavy tasks.
Vendors are pitching AI as a cure-all for legacy IT systems, but is it?
Nathan Labenz shares takeaways from The Curve conference regarding frontier AI scaling and compute limits. The episode also features discussions on hardware memory bottlenecks, how agents are changing software, training data sources, and unaddressed AI risks.
Meta has introduced new AI tools to detect child sexual exploitation on its platforms, reporting that it took action against 33.2 million pieces of such content on Facebook and Instagram in the first half of 2026. The company said more than 97% was found by its systems before users reported it.
Nous Research, the startup behind the open source Hermes Agent, has secured a $90 million Series B at a $1.5 billion valuation, confirming earlier reporting by TechCrunch.
Stuut, the New York-based AI platform that runs order-to-cash for large enterprises, has secured a $52.5 million Series B led by Insight Partners, with participation from Andreessen Horowitz, M12, Microsoft’s Venture Fund and Activant.
Mark Zuckerberg and Priscilla Chan's science nonprofit, Biohub, just expanded its $500M Virtual Biology Initiative into a $1.8B effort with the U.S.,…
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