How it worksSignal Atlas
The knowledge layer for the agentic web.
Signal Atlas is not an automatic blog writer. It is an editorial system for turning papers, reports, repositories, interviews, and lived research into evidence-backed canonical knowledge pages.
What Atlas does
It connects a source to a claim, a claim to a perspective, and a perspective to a public page. The page is designed for people to read and for agents to retrieve through stable HTML, Markdown, JSON, and llms.txt endpoints.
The three surfaces
Knowledge Library is the public corpus. Research Studio is the authoring workflow for source review, synthesis, drafting, and GEO checks. Signal Console is the measurement layer for discovery, forecasts, and monetization.
What is deployed now
The public demo article, crawler-readable formats, metadata, sitemap, robots policy, AdSense-ready slots, editorial policy, privacy page, and the three-surface interface are deployed. The current workspace uses sample data to demonstrate the workflow.
What still needs integration
Persistent article storage, authentication, live URL/PDF/transcript ingestion, a model provider, agent runs, real analytics connectors, MCP search, and live AdSense reporting require provider credentials and production data infrastructure.