Amazon Nova Act Deep Dive — Perceive, Act, Deploy: How AWS Built a 90%+ Reliable Browser Agent

Raise your hand if this has happened to you: You write a Selenium script. It works on Friday. On Monday, the site changed a button class, and it's broken. You switch to Playwright. Better. But the moment a cookie banner pops up at the wrong time, your agent halts, completely lost. This is the core problem with browser automation: it's rule-based . You're telling it exactly what to click — not what you want to accomplish. AI agents were supposed to fix this. But the first generation of LLM-powered browser bots had a different problem: give a general LLM one big instruction like "book me the cheapest flight to Delhi" , and it would hallucinate steps, lose context midway, or confidently click the wrong thing with zero awareness of failure. Benchmarks showed state-of-the-art models hitting only 30–60% accuracy on real browser tasks. Amazon Nova Act was built specifically to close this gap — and it reports over 90% reliability at scale. Here's the full architecture breakdown. What Is Amazon