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Insights & Updates
Deep dives into autonomous AI agents, real case studies, engineering decisions, and where the industry is heading.
Selenium Has Won Nothing. AI Computer Use Just Killed It.
73% of test automation projects fail. Your Selenium scripts are flaky nightmares. AI computer use is already 10x better. Why pay more for less.
Your 1-2% Email Reply Rate Is Embarrassing. Use This AI Computer Use Agent Instead.
Manual email outreach is a waste of time. Companies lose $32,000 per rep every year on bad data and manual work. That's why you need a real AI agent that controls your inbox, not a template generator.
Your AI Computer Use Agent Is Burning $28,500 Per Employee Every Year
Manual data entry costs U.S. companies $28,500 per employee annually. That's not a typo. Your computer use agent should be fixing this, not adding to it.
Why You're Still Copying Data in 2026 (The Reporting AI Agent Fix)
Your team is burning $28,500 per employee every year on manual data entry. That's not a typo. The solution is AI computer use, and it's finally reliable.
Why Idempotency Keys in the Computer Use API Prevent Double Charges
A developer-focused guide to using Idempotency-Key requests in the Coasty Computer Use API so you never get billed twice for the same agent run.
Screenshot to Action: A Deep Dive Into the /v1/predict Endpoint
Build a computer use agent that reads a screen and clicks, types, and scrolls just like a human. Learn how the /v1/predict endpoint turns screenshots into real actions.
Rare Events and Edge Cases: Where Synthetic Data Wins
Models trained on rare events struggle. Real data is scarce and costly. Synthetic data fills the gap without the risks of real-world collection.
Why Synthetic Data Is Changing How We Fine-Tune LLM Agents
Fine-tuning AI agents often hits a wall: real interaction data is scarce, noisy, or risky. Synthetic data offers a smarter way to build strong, reliable agents. Here’s how it works and why it matters.
How to Generate Labeled UI Interaction Data at Scale
You cannot train reliable agents on UIs you do not see. Synthetic interaction data solves the data bottleneck without the risk or cost of real-world scraping.
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