Blog
Notes on building agentic AI
Fifteen short reads, drawn from our internal Agentic AI Masterclass: vocabulary, architecture, governance, and two real production case studies.
Memory That Persists: How Agents Remember Across Sessions
If a session ends, or gets summarized away to save space, is everything genuinely lost? For a well-designed agentic system, the answer is no — but only because memory is a deliberately separate mechanism from context.
What Is "Context" in an AI Agent — and Why Does It Run Out?
Context is everything the model can see on the current turn — nothing more. The discipline of agent design is, in large part, the discipline of managing what does and doesn't make it into that window.
Prompts, Skills, Commands, Agents: A Field Guide to the Jargon
Agentic AI has accumulated vocabulary faster than most teams have agreed on definitions. A short, plain-language field guide so a team can use the same words to mean the same things.
From Chat to Agent: Where Does Automation Actually Begin?
Every agentic system alive today started life as the same humble thing: a single chat turn. What changed isn't the fundamental unit of interaction — it's how much structure got wrapped around it.