Browser automation finally works reliably enough for most tasks. Vision models have gotten good enough that AI agents can navigate dynamic websites without breaking on every UI change.
I've been using this for automated password rotation after breach notifications. The agent handles navigation while credentials are injected locally—LLM sees the page but never actual password values. When 2FA is required, OTP extraction happens via local regex, not AI.
~89% success rate on standard sites. Turns 6+ hours of tedious credential rotation into 40 minutes of supervision.
The gap between Google's research and "AI that saves me time today" is closing fast.
Forgive me for not understanding, but assuming you use unique passwords on every account/website, and get a breach notification, wouldn't that breach password only be on that one website/account and would thus take nowhere near 6 hours?
I've been using this for automated password rotation after breach notifications. The agent handles navigation while credentials are injected locally—LLM sees the page but never actual password values. When 2FA is required, OTP extraction happens via local regex, not AI.
~89% success rate on standard sites. Turns 6+ hours of tedious credential rotation into 40 minutes of supervision.
The gap between Google's research and "AI that saves me time today" is closing fast.
https://thepassword.app (Mac app I built for this)