Navigation and reading are different tasks
Browsers are good at clicking, waiting and executing scripts. LLMs are better at reasoning over compact, structured text. Combining both concerns in raw DOM form is expensive and fragile.
Technical blogTechnical article
How AI agents read websites
Agents do not just need access to the web. They need a usable reading surface. The most reliable systems separate navigation state from content state and let models reason over a cleaned representation.
Primary use
Why successful agents separate browser interaction from clean content extraction.
Recommended flow
Fetch, clean, measure tokens, then hand consistent Markdown to agents or retrieval systems.
Next step
Use the Playground to compare raw HTML against optimized output before integrating the API.
A practical pattern
Use automation to reach the right page state, then extract normalized content for analysis, summarization or retrieval. That creates a smaller, more deterministic prompt surface.
Internal links
Related technical paths
Agent browsing
Prepare browser agent content for model use
Give browser agents compact page context instead of forcing them to reason over raw DOM noise.
Agent access
Reader API for AI systems
Expose web content to agents and retrieval systems through a reader-style API that prioritizes clarity over browser markup.
Core positioning
AI ingestion infrastructure for websites
Normalize public web content into consistent, low-noise context that AI systems can index, retrieve and reason over.