
From the team
Blog
What we ship, how it performs,
and practical ways to put rtrvr to work.


Research
The Four Architectures for Website AI Agents
RAG bots can only talk. API-tool agents ship a second maintenance org. Code sandboxes burn per-user server cost. Only DOM-native execution inherits the web's own truth model — live HTML, user session, existing IAM. A structural comparison.
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Product
AI Subroutines: automation scripts that run inside your tab
Turn a successful browser action into a deterministic routine that can run again without another planning loop.
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Protocol beats prompt injection for agent-site communication
Declared capabilities give agents a safer, inspectable contract. Hidden instructions inside page content do not.
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The Agent-Web Protocol Stack: A Research Thesis
The web's protocol stack was designed for humans behind browsers. A new consumer is arriving: AI agents. This paper maps the emerging protocol landscape and positions Rover as the missing execution layer.
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Product
Introducing agent analytics for Rover
See what users ask an on-site agent to do, where runs break, and which requests become successful product actions.
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Product
Vibe Hacking: find the site API, then reuse the workflow
Use the page to discover its network contract, extract structured data, and keep the result as a repeatable browser workflow.
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Product
Watchdogs, knowledge bases, and cheaper browser runs
A practical launch note on recurring checks, reusable context, mobile triggers, and lower-cost execution.
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Research
The $10 Billion Proof Point: Why Every Website Needs Its Own AI Agent
Amazon's Rufus proved embedded agents are worth $10B annually. Google's WebMCP wants to intermediate your users. Here's why owning your agent is the only path forward.
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Research
Chatbots Are Read-Only. The Web Isn't.
A technical teardown of why every RAG chatbot, vision agent, and CUA fails at the one thing websites actually need — and the DOM-native architecture that replaces them all.
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