AI Agents Are Not a Breakthrough: The Final Layer of a 70-Year Stack
A layer-by-layer history of AI, from Turing to autonomous agents in 2026, showing how software, deep learning, and foundation models made agency possible.
May 31
Agents and Compliance: Who Is Liable When an AI Agent Makes the Wrong Call
When an AI agent makes the wrong call, liability does not vanish into the machine. It follows control through the agent stack. A framework for leaders.
May 31
Agent-to-Agent: The Protocol Wars, and the One Question Buyers Keep Getting Wrong
MCP, A2A, and function calling are not competing standards fighting for survival. They are layers in an agent architecture. Here is what every buyer should understand, in plain language.
May 31
Six Patterns That Worked, One That Didn't: The Enterprise Agent in 2026
Six wins and one expensive reversal across seven industries. The pattern is not the agent. It is what the operating model did to make room for it.
May 31
The New Hiring Math: When an AI Agent Replaces a Hire
AI agents are priced by the task; hires are priced by the year. The new hiring math is about decomposing roles into components, not swapping people for software.
May 31
The AI Commit Point: A Human-in-the-Loop Architecture for Trustworthy Agentic Scheduling
AI agents can already run the entire scheduling workflow. The barrier is trust at the commit point. Here is a human-in-the-loop architecture that fixes it.
May 31
Agent Onboarding: The First 30 Days
Most agent programs fail silently between demo and production. Here is how to architect, instrument, and review the first 30 days of an AI agent's working life — the way you would onboard any new hire.
May 31
The Agent Stack: The Six Layers Underneath Every Working AI Agent
Most teams buy an AI agent by picking a model. The reliability lives in six layers below it. A leader's guide to the agent stack and where value actually accrues.
May 31
Which Job Should You Agentify First?
Most AI agent pilots fail on the first pick, not the technology. A four-gate decision tree to choose which job to agentify first: volume, repeatability, error tolerance, escalation cost.
May 31