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 ...

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

Source: DEV Community

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 N

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