Contact Me Agentic AI Most AI Agents Are Just Fancy Prompt Wrappers. I Built One That Actually Understands Its Own Output Grammar-validated AI generation with language server infrastructure: AI systems that reason about structured domains with the same rigor as a compiler. By John F. Holliday • 5 min read Two Robots Examining a Document for Compliance Agentic AI Instinct vs. Deliberation: How Anthropic and OpenAI Train Their Models to Follow the Rules — And Why It Matters for Enterprise AI The most consequential technical distinction in enterprise AI isn't about which model is smarter. It's about how each model was taught to be safe — and what that means when you deploy agents that make real-world decisions. By John F. Holliday • 12 min read MCP Contract Enforcement Agentic AI MCP Needs a Type System, Part 2: Building the Contract Layer Tool descriptions suggest constraints to LLMs, but suggestions aren't guarantees. So what would formal MCP contracts actually look like? By John F. Holliday • 7 min read AI Agents Agentic AI MCP Needs a Type System, Part 1: Six Incidents That Expose the Protocol's Blind Spot Your AI agents are only as safe as the contracts they honor—and right now, MCP doesn't have any. By John F. Holliday • 6 min read Agentic AI Deontic Logic for Agent Permissions: A Formal Framework for AI Agent Governance The fundamental question of what agents are permitted to do remains governed by ad-hoc JSON schemas and vibes-based access control. Wesley Hohfeld's decomposition of rights into eight fundamental relations—and deontic logic's formal operators—provide exactly the rigor AI agent governance needs. By John F. Holliday • 8 min read Stylized Periodic Table in Digital Space Agentic AI Extending the AI Periodic Table: Two Missing Elements for the Semantic AI Era Just as you wouldn't build a house without blueprints, you shouldn't build AI guardrails without a DSL that precisely defines acceptable behavior. By John F. Holliday • 8 min read
Agentic AI Most AI Agents Are Just Fancy Prompt Wrappers. I Built One That Actually Understands Its Own Output Grammar-validated AI generation with language server infrastructure: AI systems that reason about structured domains with the same rigor as a compiler. By John F. Holliday • 5 min read
Two Robots Examining a Document for Compliance Agentic AI Instinct vs. Deliberation: How Anthropic and OpenAI Train Their Models to Follow the Rules — And Why It Matters for Enterprise AI The most consequential technical distinction in enterprise AI isn't about which model is smarter. It's about how each model was taught to be safe — and what that means when you deploy agents that make real-world decisions. By John F. Holliday • 12 min read
MCP Contract Enforcement Agentic AI MCP Needs a Type System, Part 2: Building the Contract Layer Tool descriptions suggest constraints to LLMs, but suggestions aren't guarantees. So what would formal MCP contracts actually look like? By John F. Holliday • 7 min read
AI Agents Agentic AI MCP Needs a Type System, Part 1: Six Incidents That Expose the Protocol's Blind Spot Your AI agents are only as safe as the contracts they honor—and right now, MCP doesn't have any. By John F. Holliday • 6 min read
Agentic AI Deontic Logic for Agent Permissions: A Formal Framework for AI Agent Governance The fundamental question of what agents are permitted to do remains governed by ad-hoc JSON schemas and vibes-based access control. Wesley Hohfeld's decomposition of rights into eight fundamental relations—and deontic logic's formal operators—provide exactly the rigor AI agent governance needs. By John F. Holliday • 8 min read
Stylized Periodic Table in Digital Space Agentic AI Extending the AI Periodic Table: Two Missing Elements for the Semantic AI Era Just as you wouldn't build a house without blueprints, you shouldn't build AI guardrails without a DSL that precisely defines acceptable behavior. By John F. Holliday • 8 min read
