SiFR is the structured snapshot your AI reads instead of raw HTML or pixels - roles, text, selectors, positions, salience. What it is, and why it's compact.
SiFR format →The problem with screenshots and raw DOM, and what a model-readable representation of rendered page state gives your AI instead.
Read the piece →The series on capturing what a page actually is at runtime - state, change, and the shape of a snapshot over time.
Runtime snapshots →Connect the AI client you already use, per client. Install, sign in, paste the connection, and go.
Docs & setup →The SiFR reference implementation is public - the format, the capture engine, and the MCP server, on GitHub.
github.com/e2llm/e2llm-sifr →