Essays on agentic AI, orchestration, systems thinking, and what executive leaders need to understand now.
47 posts
The thing the drone replaces is not the aircraft. It is delay. When you treat latency as the priced metric, you start seeing the same advantage pattern across defense pivots, distribution-based fintech, and AI-native workflows.
OpenAI’s GPT-5.6 Ultra treats multi-agent coordination as a shipped feature. That shifts the bottleneck from model quality to the distribution stack: orchestration, partner routing, and fresh data. If you cannot explain the route from buyer intent to completed transaction, you do not have a moat. Y…
A customer chats. The assistant sounds fluent. Then nothing closes. HP and Salesforce are shipping the missing layer: reusable operating surfaces that connect conversation to real business state. That is the moat shift happening now.
ChatGPT Work feels like a marketing speed upgrade until you notice the real shift: the agent collapses drafting into finished multi-format artifacts, and the only remaining human step is deciding whether to ship. That acceptance gate becomes the new work primitive.
Salesforce is pushing Agentforce Commerce into general availability, with commerce agents designed to take shoppers from discovery through checkout and post-purchase. The surprising lesson: the chatbot is the surface. The durable advantage is the channel layer that carries commitment state across s…
I keep coming back to IBM’s “11% readiness” stat. Most coverage reads it as a human literacy gap. My read is different: the missing piece is the product instrument panel that makes agent autonomy observable, auditable, and re-approvable. Treat the control gap as a spec, not a training problem.
Across roughly 400,000 Claude Code sessions, Anthropic found domain expertise predicts how much useful work an agent produces per instruction. OpenAI’s Codex adoption shows the same bottleneck moving into departments with real domain fluency. When execution gets cheaper, power shifts to what your o…
OpenAI’s autonomous chemistry demo and Adobe’s creative agent expansion look like pure capability leaps. But the real shift is leadership. When the loop plans, executes, and iterates, humans move from performing steps to designing acceptance: what the loop is allowed to do, what artifacts prove out…
Gemini Spark on macOS turns desktop agents from “chat you keep alive” into workflow infrastructure. But the advantage only lands when you redesign work as micro-work episodes: bounded inputs, a spec, a named done artifact, and a stopping rule.
A chat window is a place you visit. A desktop agent with file access is a place work happens. The frontier shift is not model quality. It is the engineering of daily, bounded work units that produce named artifacts in the tools where decisions live.
The revenue loop no longer waits for a Monday campaign calendar. Klaviyo moved Composer and Customer Agent into public beta, and Braze made Operator and Agent Console generally available. Together they show a new marketing product primitive: agentic, stateful decision policies that coordinate creat…
AI can draft faster than any human review cycle. Courts are now clear that the human duty does not move. That creates a new product design pattern for agentic workflows: preserve state, custody, and provenance from generation to signature.