Essays on the missing layer between enterprise data and AI agents—playbooks, proof, ReBAC, and shipping production copilots that audit themselves.
Every tournament, someone asks an AI for a winner and gets confident fluff. Ontology AI is not a crystal ball — it is governed structure across squads, fixtures, and injuries. What it can and cannot predict, and why that matters for agents and enterprises alike.
Data architecture · EssayFrom SQL joins to NoSQL, graph DBs, and lakes — each solved real problems. Agents need something different: a real-time reasoning layer like AnythingGraph that stores playbooks, not rows, and queries where data already lives.
Data architecture · EssayIn the AI age, your rows already live in Postgres, Salesforce, and CSV files. What agents need is governed meaning — playbooks, bindings, access, and proof — not another copy. Why a reasoning database matters now.
Ontology & AI · EssayUnidentified phenomena, machine learning, and formal ontologies look unrelated — until you see they all solve classification under uncertainty. What NASA’s UAP report and enterprise playbooks have in common.
Tutorial · Anything CLI
Connect Claude to Anything CLI, introspect Postgres and CSV sources, and auto-create the
crm-payroll-access playbook — with real MCP prompts, tool calls, and saved JSON/YAML.
Siloed CRM, payroll, and SaaS data leaves agents blind. AnythingGraph lists every connected source via MCP, introspects schema in place, and federates silos in playbooks — no ETL required.
Data architectureETL, lakes, and vector copies made sense for dashboards — not for agents asking every minute. Why query-in-place, governed playbooks, and proof beat another data migration project.
TutorialStep-by-step: install the Fintech transaction compliance playbook, explore the graph, connect Claude via MCP, and ask whether transaction TX-8842 can be approved — with an explainable answer.
Ontology & AIWhy ontology is back in the age of AI — and why cybersecurity, finance, insurance, healthcare, manufacturing, and supply chain need shared meaning, not just better summaries.
Reasoning as CodeWhy RAG and MCP are not enough, what Reasoning as Code means, and how AnythingGraph lets developers version ontology, access, and proof in playbooks—then expose them to any agent via governed MCP.