01Accurate purpose, generated outputs, limitations, and publishing workflow.
Agent Discovery ConsoleMACHINE-READABLE WEB WORKSPACEA practical workspace for auditing machine-readable discovery surfaces and generating concise artifacts that help automated systems understand a site.
Audit discovery surfaces and generate complementary machine-readable guidance without sending private site descriptions to a server.
A practical workspace for auditing machine-readable discovery surfaces and generating concise artifacts that help automated systems understand a site.
llms.txt, robots.txt, JSON-LD, agent manifests, readiness scores, and downloadable artifacts.
These files improve clarity and machine readability, but they cannot guarantee crawler access, ranking, retrieval, or inclusion in any model.
Every stage is separated so the interface stays readable, reviewable, and useful for AI and Data Science learning.
Provide the canonical site identity, purpose, and audience.
Check discovery surfaces and identify missing or inconsistent metadata.
Create concise files for crawlers, agents, and structured-data consumers.
Review every artifact before placing it at the correct public path.
