Deep dives into autonomous AI agents, real case studies, engineering decisions, and where the industry is heading.
v3 vs v4: Choosing a Computer Use Model on the API
Pick the right Coasty agent version for your task: v3 for guided interactive workflows, v4 for fully autonomous runs with built‑in verification. Build robust computer use agents with the real endpoints and pricing.
The Twelve Month Roadmap From RPA to a Digital Workforce
Traditional RPA survives only when screens never change. Agents that see and act like humans finally give you durable automation. Here is a realistic twelve month path from RPA to a true digital workforce.
How to Measure Synthetic Data Quality Before You Train on It
You cannot trust synthetic labels without testing them. Here is a concrete, numbers-based guide to checking quality before you spin up training.
Build an Autonomous Agent That Finishes a Task with /v1/runs
Ship a browser or desktop task without writing a single selector. Use the computer use API to let a model watch a screen and act like a human until success.
Building an AI Agent Center of Excellence After RPA
The RPA maintenance treadmill is costing you more than you think. Here is how computer use agents let you move beyond brittle bots and start a durable automation program.
Selenium Is Dead. Browser Automation Is About AI Now. (And It Will Blow Your Mind)
Your Selenium scripts are silently bleeding your team's time. 150,000 developer hours wasted. AI computer use agents can handle real chaos. It's time to pick a winner.
The Data Flywheel: Synthetic Data for Self-Improving Agents
Good synthetic data accelerates agent learning and evaluation. Learn the real tradeoffs and how teams get high-quality labeled data at scale.
Hyperautomation Without the RPA Tax
Most enterprises are stuck on a maintenance treadmill. Agents let you automate processes that are changing, complex, or written as SOPs, without the RPA tax.
Banking back office automation beyond RPA bots: why agents survive where bots break
Traditional RPA bots choke on banking UI updates and exception workflows. Computer use agents see the screen and adapt, turning standard operating procedures into working automation.
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Computer-use evals and real-world environments.
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