Posts
All the articles I've posted.
The Decision Plane: Why Jev Changes Enterprise Agent Architecture
Published: at 03:00 PMMost enterprise agent traffic is decisions, not prose — yet every branch is produced by an autoregressive model. Here is what changes when the decision layer comes out of the LLM and back into code, and the cascade architecture the accuracy numbers actually justify.
Jev: The Frontier Model That Refuses to Write
Published: at 10:00 AMJev is a frontier model that never generates text. It scores the options you supply in a single parallel pass — 8.5 seconds of LLM output replaced by 0.1 seconds of arithmetic. Here's the trade, and why it matters for the cost architecture of every agent you run.
Dense Models vs. Mixture of Experts — The Architecture Decision That Shapes Inference Economics
Published: at 04:00 PMA deep dive into Dense vs. Mixture of Experts (MoE) architectures — how they work under the hood, the real trade-offs in training and inference, and why the choice between them is becoming the defining systems decision for AI infrastructure teams.
The CAIO's First 90 Days: AI Governance Frameworks That Actually Stick
Published: at 11:00 AMA practical guide for newly appointed Chief AI Officers on the essential AI governance frameworks to establish within the first 90 days, covering NIST AI RMF, ISO/IEC 42001, and minimum viable governance structures.
How to Present an AI Strategy to Your Board (Without Losing Them in 5 Minutes)
Published: at 11:00 AMThe bridge between your deep technical knowledge and boardroom clarity. Frameworks, visuals, and language that resonates with non-technical directors when presenting AI strategy.
C-Suite Leaders Must Embrace Rapid Experimentation in the AI Era
Updated: at 02:30 AMIn the AI era, traditional strategic planning cycles are obsolete. C-suite leaders must shift from exhaustive planning to rapid experimentation, embracing action and agency over endless analysis. Here's why experience is becoming a tax, not an asset.
LLM Optimization - The Complete Guide to Faster and More Efficient AI Models
Updated: at 04:22 PMWhat is LLM optimization and why does it matter? Learn techniques to optimize Large Language Models for faster inference, lower costs, and better performance - including quantization, pruning, and knowledge distillation.
Single Agent vs Multi-Agent - Which AI Architecture Do You Need?
Updated: at 04:22 PMWhat is the difference between single agent vs multi-agent systems? Understanding single agent architecture versus multi-agent AI systems. Learn when to use each approach, compare their capabilities, and decide which architecture is best for your AI project.
What Is Agentic AI - The Complete Guide to Autonomous AI Agents
Updated: at 10:00 AMWhat is agentic AI? Understanding the difference between agentic AI vs AI agents. Learn what agentic engineering means, discover agentic AI project examples, and understand how autonomous digital workers are transforming software development.
Compound Engineering v3 and the Rise of Agentic Software Delivery
Published: at 09:00 AMHow Compound Engineering v3's improvements—unified namespaces, traceable requirements, and better tooling—enable the next wave of agentic AI and faster software delivery.