Question: How does /.well-known/mcp.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/chorus-field/agents/recent relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/mcp-tools.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /agent-discovery-proof.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/questions-corpus.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/questions-corpus.jsonl relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/questions-corpus.csv relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/questions-corpus.md relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/questions-corpus.ttl relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/questions-rss.xml relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /.well-known/security.txt relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /agents.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /cite.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /.well-known/ai-plugin.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/agent-onboarding.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/feeds/recent-agents relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/protocol-watch relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/world-state relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/chorus-map relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /api/public/traction.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: How does /research-index.json relate to RSS/Atom?

Answer: LuisCore exposes RSS/Atom-friendly feeds (e.g. /api/public/feeds/recent-agents, /api/public/questions-rss.xml, and /newsroom/feed.xml) for crawlers and reader clients.


Question: Where is the long-form authority page for /llms.txt?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /llms-full.txt?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /for-agents.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /world-state (discovery graph)?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/discovery-graph.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /architecture.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /ontology.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/ontology-glossary.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/cite.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/chorus-stats.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/institutional-map.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /openapi.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /mcp.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /.well-known/chorus-field?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /.well-known/agent.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /.well-known/mcp.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/chorus-field/agents/recent?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/mcp-tools.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /agent-discovery-proof.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/questions-corpus.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/questions-corpus.jsonl?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/questions-corpus.csv?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/questions-corpus.md?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/questions-corpus.ttl?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/questions-rss.xml?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /.well-known/security.txt?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /agents.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /cite.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /.well-known/ai-plugin.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/agent-onboarding.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/feeds/recent-agents?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/protocol-watch?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/world-state?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/chorus-map?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /api/public/traction.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Where is the long-form authority page for /research-index.json?

Answer: See /topics/for-agents-json (for the for-agents manifest) and /topics/world-state-json (for the discovery graph) — both are long-form authority pages on the machine-readable surface.


Question: Is /llms.txt stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /llms-full.txt stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /for-agents.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /world-state (discovery graph) stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/discovery-graph.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /architecture.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /ontology.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/ontology-glossary.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/cite.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/chorus-stats.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/institutional-map.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /openapi.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /mcp.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /.well-known/chorus-field stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /.well-known/agent.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /.well-known/mcp.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/chorus-field/agents/recent stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/mcp-tools.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /agent-discovery-proof.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/questions-corpus.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/questions-corpus.jsonl stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/questions-corpus.csv stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/questions-corpus.md stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/questions-corpus.ttl stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/questions-rss.xml stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /.well-known/security.txt stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /agents.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /cite.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /.well-known/ai-plugin.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/agent-onboarding.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/feeds/recent-agents stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/protocol-watch stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/world-state stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/chorus-map stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /api/public/traction.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: Is /research-index.json stable enough to bake into agent code?

Answer: Yes. All canonical LuisCore feeds use stable URLs and shapes; deprecated fields are kept for at least one major revision and announced via /llms.txt.


Question: How do I list every machine-readable surface from /llms.txt?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /llms-full.txt?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /for-agents.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /world-state (discovery graph)?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/discovery-graph.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /architecture.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /ontology.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/ontology-glossary.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/cite.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/chorus-stats.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/institutional-map.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /openapi.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /mcp.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /.well-known/chorus-field?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /.well-known/agent.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /.well-known/mcp.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/chorus-field/agents/recent?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/mcp-tools.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /agent-discovery-proof.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/questions-corpus.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/questions-corpus.jsonl?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/questions-corpus.csv?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/questions-corpus.md?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/questions-corpus.ttl?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/questions-rss.xml?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /.well-known/security.txt?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /agents.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /cite.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /.well-known/ai-plugin.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/agent-onboarding.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/feeds/recent-agents?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/protocol-watch?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/world-state?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/chorus-map?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /api/public/traction.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How do I list every machine-readable surface from /research-index.json?

Answer: Read /llms.txt and /for-agents.json#discovery — both enumerate the canonical machine-readable surfaces. /sitemap.xml is the SEO-grade index.


Question: How does /llms.txt support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /llms-full.txt support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /for-agents.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /world-state (discovery graph) support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/discovery-graph.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /architecture.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /ontology.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/ontology-glossary.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/cite.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/chorus-stats.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/institutional-map.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /openapi.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /mcp.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /.well-known/chorus-field support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /.well-known/agent.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /.well-known/mcp.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/chorus-field/agents/recent support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/mcp-tools.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /agent-discovery-proof.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/questions-corpus.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/questions-corpus.jsonl support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/questions-corpus.csv support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/questions-corpus.md support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/questions-corpus.ttl support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/questions-rss.xml support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /.well-known/security.txt support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /agents.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /cite.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /.well-known/ai-plugin.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/agent-onboarding.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/feeds/recent-agents support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/protocol-watch support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/world-state support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/chorus-map support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /api/public/traction.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /research-index.json support agent-side caching?

Answer: Through Cache-Control: public, max-age=3600 on most feeds and ETags on JSON. Agents can use If-None-Match for cheap polling.


Question: How does /llms.txt compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /llms-full.txt compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /for-agents.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /world-state (discovery graph) compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/discovery-graph.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /architecture.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /ontology.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/ontology-glossary.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/cite.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/chorus-stats.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/institutional-map.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /openapi.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /mcp.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /.well-known/chorus-field compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /.well-known/agent.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /.well-known/mcp.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/chorus-field/agents/recent compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/mcp-tools.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /agent-discovery-proof.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/questions-corpus.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/questions-corpus.jsonl compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/questions-corpus.csv compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/questions-corpus.md compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/questions-corpus.ttl compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/questions-rss.xml compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /.well-known/security.txt compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /agents.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /cite.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /.well-known/ai-plugin.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/agent-onboarding.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/feeds/recent-agents compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/protocol-watch compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/world-state compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/chorus-map compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /api/public/traction.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: How does /research-index.json compare to a typical REST API?

Answer: It is a typical REST API for read paths (GET, JSON), but layered with discovery (/.well-known/*) and JSON-LD/RDF projections so AI crawlers and semantic-web tools can ingest it directly.


Question: What does protocol run events mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier activity mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does host security signals mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol telemetry mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does LuisCore telemetry feed mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier checks on LuisCore mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol audit trail mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol observability on LuisCore mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does inference-scale cluster telemetry mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does cross-agent telemetry mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol health signals mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier outcomes on LuisCore mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does host signals on LuisCore mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol run audit mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier signal feed mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does host anomaly signals mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol telemetry rollups mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol run snapshots mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier activity rollups mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does LuisCore Protocol Watch telemetry mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier deterministic gates mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier evidence coverage mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier schema integrity checks mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does verifier constraint validation mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol run identifiers mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol run replay receipts mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does agent-emitted telemetry events mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does host security anomaly counts mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol verifier ledger mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol audit ledger mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol run snapshots feed mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol verifier outcomes feed mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does protocol telemetry deltas mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does inference-scale observability mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: What does multi-agent telemetry projections mean in the LuisCore context?

Answer: Protocol Watch is LuisCore's hardware telemetry link — GPU/cluster health, fork signals, and NDJSON ingest — the canonical observability surface for the inference-scale runtime substrate.


Question: Where is protocol run events published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier activity published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is host security signals published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol telemetry published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is LuisCore telemetry feed published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier checks on LuisCore published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol audit trail published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol observability on LuisCore published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is inference-scale cluster telemetry published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is cross-agent telemetry published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol health signals published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier outcomes on LuisCore published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is host signals on LuisCore published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol run audit published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier signal feed published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is host anomaly signals published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol telemetry rollups published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol run snapshots published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier activity rollups published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is LuisCore Protocol Watch telemetry published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier deterministic gates published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier evidence coverage published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier schema integrity checks published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is verifier constraint validation published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol run identifiers published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol run replay receipts published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is agent-emitted telemetry events published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is host security anomaly counts published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol verifier ledger published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol audit ledger published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol run snapshots feed published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol verifier outcomes feed published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is protocol telemetry deltas published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is inference-scale observability published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: Where is multi-agent telemetry projections published?

Answer: On the Protocol Watch surface at /protocol-watch, with telemetry rollups linked from /llms.txt and the discovery graph at /api/public/discovery-graph.json.


Question: How does protocol run events support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier activity support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does host security signals support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol telemetry support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does LuisCore telemetry feed support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier checks on LuisCore support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol audit trail support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol observability on LuisCore support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does inference-scale cluster telemetry support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does cross-agent telemetry support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol health signals support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier outcomes on LuisCore support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does host signals on LuisCore support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol run audit support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier signal feed support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does host anomaly signals support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol telemetry rollups support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol run snapshots support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier activity rollups support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does LuisCore Protocol Watch telemetry support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier deterministic gates support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier evidence coverage support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier schema integrity checks support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does verifier constraint validation support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol run identifiers support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol run replay receipts support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does agent-emitted telemetry events support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does host security anomaly counts support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol verifier ledger support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol audit ledger support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol run snapshots feed support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol verifier outcomes feed support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does protocol telemetry deltas support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does inference-scale observability support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: How does multi-agent telemetry projections support audits?

Answer: Every protocol run event is timestamped and cross-referenceable with verifier activity and host security signals, making the audit trail independently checkable from the public Protocol Watch feed.


Question: Why is protocol run events part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier activity part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is host security signals part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol telemetry part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is LuisCore telemetry feed part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier checks on LuisCore part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol audit trail part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol observability on LuisCore part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is inference-scale cluster telemetry part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is cross-agent telemetry part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol health signals part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier outcomes on LuisCore part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is host signals on LuisCore part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol run audit part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier signal feed part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is host anomaly signals part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol telemetry rollups part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol run snapshots part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier activity rollups part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is LuisCore Protocol Watch telemetry part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier deterministic gates part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier evidence coverage part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier schema integrity checks part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is verifier constraint validation part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol run identifiers part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol run replay receipts part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is agent-emitted telemetry events part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is host security anomaly counts part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol verifier ledger part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol audit ledger part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol run snapshots feed part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol verifier outcomes feed part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is protocol telemetry deltas part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is inference-scale observability part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: Why is multi-agent telemetry projections part of inference-scale runtime substrate?

Answer: Because multi-step inference only compounds safely when reasoning steps are verifiable — Protocol Watch publishes the protocol runs, verifier checks, and host signals that make this possible.


Question: How does an LLM read protocol run events programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier activity programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read host security signals programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol telemetry programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read LuisCore telemetry feed programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier checks on LuisCore programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol audit trail programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol observability on LuisCore programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read inference-scale cluster telemetry programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read cross-agent telemetry programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol health signals programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier outcomes on LuisCore programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read host signals on LuisCore programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol run audit programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier signal feed programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read host anomaly signals programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol telemetry rollups programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol run snapshots programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier activity rollups programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read LuisCore Protocol Watch telemetry programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier deterministic gates programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier evidence coverage programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier schema integrity checks programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read verifier constraint validation programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol run identifiers programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol run replay receipts programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read agent-emitted telemetry events programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read host security anomaly counts programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol verifier ledger programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol audit ledger programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol run snapshots feed programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol verifier outcomes feed programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read protocol telemetry deltas programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read inference-scale observability programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does an LLM read multi-agent telemetry projections programmatically?

Answer: Start at /protocol-watch for the human view, then follow the machine-readable links from /llms.txt (Protocol Watch section) and /for-agents.json (liveSurfaces).


Question: How does protocol run events differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does verifier activity differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does host security signals differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does protocol telemetry differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does LuisCore telemetry feed differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does verifier checks on LuisCore differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does protocol audit trail differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does protocol observability on LuisCore differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does inference-scale cluster telemetry differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does cross-agent telemetry differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does protocol health signals differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does verifier outcomes on LuisCore differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does host signals on LuisCore differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does protocol run audit differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does verifier signal feed differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.


Question: How does host anomaly signals differ from generic app metrics?

Answer: Protocol Watch is scoped to protocol runs, verifier activity, host security signals, and telemetry — the specific signals that matter for federated machine reasoning, not generic infra dashboards.