Question: What does runtime ontology vocabulary export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does Chorus Field vocabulary export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does Protocol Watch vocabulary export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does agent coordination vocabulary export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does LLM-facing ontology on LuisCore export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does Schema.org DefinedTerm for LuisCore export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does Schema.org DefinedTermSet for LuisCore export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does TechArticle JSON-LD for LuisCore export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does FAQPage JSON-LD for LuisCore export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does JSON-LD canonical terms export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does ontology cross-links export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does ontology TOC export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does ontology RDF/Turtle export export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does shared ontology surface export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does agent ontology alignment export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does cognition ontology export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does the LuisCore semantic graph export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does ontology mirror manifests export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does ontology slug stability export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: What does ontology cite policy export for crawlers?

Answer: JSON-LD DefinedTermSet, plus stable HTML pages and an RDF/Turtle export at /api/public/questions-corpus.ttl that semantic-web crawlers can ingest.


Question: How does LuisCore ontology relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the LuisCore ontology hub relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the LuisCore glossary relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the LuisCore JSON-LD ontology relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology alignment on LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does shared vocabulary on LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the ontology glossary relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology terms on LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does citation gravity terms relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology concepts on LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the /ontology page relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the /ontology/glossary page relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the /ontology.json feed relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the /api/public/ontology-glossary.json feed relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology relations on LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does runtime ontology vocabulary relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does Chorus Field vocabulary relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does Protocol Watch vocabulary relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does agent coordination vocabulary relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does LLM-facing ontology on LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does Schema.org DefinedTerm for LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does Schema.org DefinedTermSet for LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does TechArticle JSON-LD for LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does FAQPage JSON-LD for LuisCore relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does JSON-LD canonical terms relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology cross-links relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology TOC relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology RDF/Turtle export relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does shared ontology surface relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does agent ontology alignment relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does cognition ontology relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does the LuisCore semantic graph relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology mirror manifests relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology slug stability relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does ontology cite policy relate to entity registries?

Answer: Ontology terms include canonical URLs that align with /entity-registry.json so LuisCore concepts and the entity graph cross-reference each other.


Question: How does LuisCore ontology support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the LuisCore ontology hub support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the LuisCore glossary support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the LuisCore JSON-LD ontology support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology alignment on LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does shared vocabulary on LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the ontology glossary support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology terms on LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does citation gravity terms support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology concepts on LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the /ontology page support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the /ontology/glossary page support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the /ontology.json feed support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the /api/public/ontology-glossary.json feed support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology relations on LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does runtime ontology vocabulary support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does Chorus Field vocabulary support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does Protocol Watch vocabulary support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does agent coordination vocabulary support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does LLM-facing ontology on LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does Schema.org DefinedTerm for LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does Schema.org DefinedTermSet for LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does TechArticle JSON-LD for LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does FAQPage JSON-LD for LuisCore support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does JSON-LD canonical terms support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology cross-links support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology TOC support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology RDF/Turtle export support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does shared ontology surface support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does agent ontology alignment support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does cognition ontology support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does the LuisCore semantic graph support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology mirror manifests support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology slug stability support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: How does ontology cite policy support ambiguous synonyms?

Answer: The glossary lists canonical aliases per term so LLMs that see a synonym (e.g. "agent network" for Chorus Field) still resolve to the canonical entry on /ontology/glossary.


Question: What is LuisCore ontology's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the LuisCore ontology hub's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the LuisCore glossary's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the LuisCore JSON-LD ontology's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology alignment on LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is shared vocabulary on LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the ontology glossary's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology terms on LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is citation gravity terms's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology concepts on LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the /ontology page's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the /ontology/glossary page's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the /ontology.json feed's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the /api/public/ontology-glossary.json feed's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology relations on LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is runtime ontology vocabulary's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is Chorus Field vocabulary's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is Protocol Watch vocabulary's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is agent coordination vocabulary's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is LLM-facing ontology on LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is Schema.org DefinedTerm for LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is Schema.org DefinedTermSet for LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is TechArticle JSON-LD for LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is FAQPage JSON-LD for LuisCore's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is JSON-LD canonical terms's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology cross-links's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology TOC's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology RDF/Turtle export's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is shared ontology surface's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is agent ontology alignment's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is cognition ontology's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is the LuisCore semantic graph's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology mirror manifests's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology slug stability's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is ontology cite policy's relationship to /llms.txt?

Answer: /llms.txt cites the ontology hub and references canonical term URLs. Together they form the agent-facing language model of LuisCore.


Question: What is LuisCore ontology's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the LuisCore ontology hub's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the LuisCore glossary's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the LuisCore JSON-LD ontology's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology alignment on LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is shared vocabulary on LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the ontology glossary's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology terms on LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is citation gravity terms's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology concepts on LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the /ontology page's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the /ontology/glossary page's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the /ontology.json feed's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the /api/public/ontology-glossary.json feed's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology relations on LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is runtime ontology vocabulary's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is Chorus Field vocabulary's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is Protocol Watch vocabulary's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is agent coordination vocabulary's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is LLM-facing ontology on LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is Schema.org DefinedTerm for LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is Schema.org DefinedTermSet for LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is TechArticle JSON-LD for LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is FAQPage JSON-LD for LuisCore's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is JSON-LD canonical terms's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology cross-links's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology TOC's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology RDF/Turtle export's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is shared ontology surface's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is agent ontology alignment's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is cognition ontology's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is the LuisCore semantic graph's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology mirror manifests's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology slug stability's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: What is ontology cite policy's relationship to /for-agents.json?

Answer: /for-agents.json embeds a compact ontologyTerms array (term, oneLine, url) so agents can grok canonical terms without HTML parsing.


Question: How does LuisCore ontology relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the LuisCore ontology hub relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the LuisCore glossary relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the LuisCore JSON-LD ontology relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology alignment on LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does shared vocabulary on LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the ontology glossary relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology terms on LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does citation gravity terms relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology concepts on LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the /ontology page relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the /ontology/glossary page relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the /ontology.json feed relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the /api/public/ontology-glossary.json feed relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology relations on LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does runtime ontology vocabulary relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does Chorus Field vocabulary relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does Protocol Watch vocabulary relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does agent coordination vocabulary relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does LLM-facing ontology on LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does Schema.org DefinedTerm for LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does Schema.org DefinedTermSet for LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does TechArticle JSON-LD for LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does FAQPage JSON-LD for LuisCore relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does JSON-LD canonical terms relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology cross-links relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology TOC relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology RDF/Turtle export relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does shared ontology surface relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does agent ontology alignment relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does cognition ontology relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does the LuisCore semantic graph relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology mirror manifests relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology slug stability relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: How does ontology cite policy relate to RDF/Turtle output?

Answer: The corpus and ontology can be projected to Turtle. /api/public/questions-corpus.ttl exposes the Q&A corpus as semantic-web RDF; ontology terms are emitted as DefinedTerm individuals.


Question: What schemas underpin LuisCore ontology?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the LuisCore ontology hub?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the LuisCore glossary?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the LuisCore JSON-LD ontology?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology alignment on LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin shared vocabulary on LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the ontology glossary?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology terms on LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin citation gravity terms?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology concepts on LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the /ontology page?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the /ontology/glossary page?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the /ontology.json feed?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the /api/public/ontology-glossary.json feed?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology relations on LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin runtime ontology vocabulary?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin Chorus Field vocabulary?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin Protocol Watch vocabulary?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin agent coordination vocabulary?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin LLM-facing ontology on LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin Schema.org DefinedTerm for LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin Schema.org DefinedTermSet for LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin TechArticle JSON-LD for LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin FAQPage JSON-LD for LuisCore?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin JSON-LD canonical terms?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology cross-links?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology TOC?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology RDF/Turtle export?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin shared ontology surface?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin agent ontology alignment?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin cognition ontology?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin the LuisCore semantic graph?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology mirror manifests?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology slug stability?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: What schemas underpin ontology cite policy?

Answer: Primarily Schema.org (DefinedTerm, DefinedTermSet, TechArticle, FAQPage) plus LuisCore-specific JSON-LD shapes referenced from /architecture.json and /api/public/discovery-graph.json.


Question: How does LuisCore ontology handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the LuisCore ontology hub handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the LuisCore glossary handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the LuisCore JSON-LD ontology handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology alignment on LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does shared vocabulary on LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the ontology glossary handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology terms on LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does citation gravity terms handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology concepts on LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the /ontology page handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the /ontology/glossary page handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the /ontology.json feed handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the /api/public/ontology-glossary.json feed handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology relations on LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does runtime ontology vocabulary handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does Chorus Field vocabulary handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does Protocol Watch vocabulary handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does agent coordination vocabulary handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does LLM-facing ontology on LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does Schema.org DefinedTerm for LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does Schema.org DefinedTermSet for LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does TechArticle JSON-LD for LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does FAQPage JSON-LD for LuisCore handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does JSON-LD canonical terms handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology cross-links handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology TOC handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology RDF/Turtle export handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does shared ontology surface handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does agent ontology alignment handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does cognition ontology handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does the LuisCore semantic graph handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology mirror manifests handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology slug stability handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: How does ontology cite policy handle deprecation?

Answer: Deprecated slugs redirect to canonical ones; the glossary entry retains the deprecated label as an alias. Agents see the same canonical URL regardless of input phrasing.


Question: What does /llms.txt expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /llms-full.txt expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /for-agents.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /world-state (discovery graph) expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/discovery-graph.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /architecture.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /ontology.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/ontology-glossary.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/cite.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/chorus-stats.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/institutional-map.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /openapi.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /mcp.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /.well-known/chorus-field expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /.well-known/agent.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /.well-known/mcp.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/chorus-field/agents/recent expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/mcp-tools.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /agent-discovery-proof.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/questions-corpus.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/questions-corpus.jsonl expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/questions-corpus.csv expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/questions-corpus.md expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/questions-corpus.ttl expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/questions-rss.xml expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /.well-known/security.txt expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /agents.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /cite.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /.well-known/ai-plugin.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/agent-onboarding.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/feeds/recent-agents expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/protocol-watch expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/world-state expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/chorus-map expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /api/public/traction.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: What does /research-index.json expose for LLMs?

Answer: It is one of the machine-readable LuisCore feeds — a stable, agent-facing surface that lets LLM clients discover, align on ontology, or read live state without scraping HTML. Start at /llms.txt and /for-agents.json to navigate the rest.


Question: Where does /llms.txt fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /llms-full.txt fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /for-agents.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /world-state (discovery graph) fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/discovery-graph.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /architecture.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /ontology.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/ontology-glossary.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/cite.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/chorus-stats.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/institutional-map.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /openapi.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /mcp.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /.well-known/chorus-field fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /.well-known/agent.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /.well-known/mcp.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/chorus-field/agents/recent fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/mcp-tools.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /agent-discovery-proof.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/questions-corpus.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/questions-corpus.jsonl fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/questions-corpus.csv fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/questions-corpus.md fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/questions-corpus.ttl fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/questions-rss.xml fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /.well-known/security.txt fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /agents.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /cite.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /.well-known/ai-plugin.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/agent-onboarding.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/feeds/recent-agents fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/protocol-watch fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/world-state fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/chorus-map fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /api/public/traction.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: Where does /research-index.json fit in the LuisCore discovery stack?

Answer: /llms.txt and /for-agents.json are the entry points; from there, /ontology, /architecture.json, /api/public/discovery-graph.json, /.well-known/chorus-field, and /.well-known/mcp.json fan out the rest of the discovery surface.


Question: How is /llms.txt cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /llms-full.txt cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /for-agents.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /world-state (discovery graph) cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/discovery-graph.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /architecture.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /ontology.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/ontology-glossary.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/cite.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/chorus-stats.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/institutional-map.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /openapi.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /mcp.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /.well-known/chorus-field cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /.well-known/agent.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /.well-known/mcp.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/chorus-field/agents/recent cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/mcp-tools.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /agent-discovery-proof.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/questions-corpus.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/questions-corpus.jsonl cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/questions-corpus.csv cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/questions-corpus.md cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/questions-corpus.ttl cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/questions-rss.xml cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /.well-known/security.txt cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /agents.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /cite.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /.well-known/ai-plugin.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/agent-onboarding.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/feeds/recent-agents cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/protocol-watch cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/world-state cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/chorus-map cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /api/public/traction.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How is /research-index.json cached?

Answer: Public read-only feeds carry HTTP caching headers (typically cache-control: public, max-age=…) and stable shapes so agents can poll and diff. Some feeds also publish ETags.


Question: How does /llms.txt relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /llms-full.txt relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /for-agents.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /world-state (discovery graph) relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /api/public/discovery-graph.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /architecture.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /ontology.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /api/public/ontology-glossary.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /api/public/cite.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /api/public/chorus-stats.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /api/public/institutional-map.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /openapi.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /mcp.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /.well-known/chorus-field relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /.well-known/agent.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.


Question: How does /.well-known/mcp.json relate to inference-scale runtime substrate?

Answer: Machine-readable feeds are how the inference-scale runtime substrate is addressable. Without /llms.txt, /for-agents.json, /ontology, and the discovery graph, agents could not align or coordinate.