Your Data Architecture Is Becoming Your AI Architecture
AI agents need authoritative business meaning, not merely access to more documents. A practical architecture test for building trustworthy enterprise context.
Latest posts
AI Makes Software Cheaper to Build. What Is Worth Owning?
AI lowers the cost of creating software, but not the cost of owning it. A practical enterprise architecture test for deciding what to buy, configure, compose, or build.
Stateless MCP Still Needs Durable Business State
MCP’s stateless core makes agent infrastructure easier to scale, but it moves responsibility for authority, progress, and recovery into the application. Here is the architecture test enterprises should run.
AI Agent Evaluation Must Go Beyond the Trace
Enterprise AI agents should be evaluated against authoritative business state, not merely their execution traces. A practical architecture test for outcomes, authority and recovery.
The Model Isn’t the Architecture: Why AI Agents Need a Harness
For much of the generative AI boom, enterprise technology strategy has revolved around one question: Which model should we use? GPT, Claude, Gemini, Llama and an […]
The Agentic Enterprise Is an Architecture Problem, Not a Model Problem
The enterprise AI conversation is shifting from model selection to governed execution. Here are the architecture decisions behind identity, MCP, orchestration, semantics and observability.