Topic
14 essays. All writing
Agentic commerce depends on context assembly: giving a shopping agent the right information at the right moment.
How tool calling connects your request to product searches, stock checks, and an authorized purchase.
How an AI suggestion becomes a real-world action—and how permission checks, approval gates, and recovery logic keep a helpful agent from making an expensive mistake.
Most confusion in agent architecture begins when one system is asked to decide when work starts, how it proceeds, and when it is safe to act.
It can look like forgetting. Usually, it is something more ordinary: the information was kept in the wrong place — or it was never kept at all.
One GMV report, built three ways — and a four-layer model for knowing which layer should change.
What each component solves, what state it owns, and what breaks when you remove it.
A clear look at its real power, who should try it, and who should wait.
System Prompt, Skill, Workflow, Cron, and MCP are not rivals. They are one stack.
MCP is the badge. Skills are the training. The pattern that works is Skill orchestration plus MCP execution.
A practical framework for separating reusable capabilities from orchestration logic—and knowing when to use each.
As Vertical AI agents revolutionize industries, businesses face key challenges but also huge opportunities. Here’s what companies need to navigate:👇
AI is no longer one-size-fits-all.
Product Management in Post ChatGPT Era
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