Insights, ideas and field notes
Practical writing on AI agents, automation, and how we build software that ships.
How Do You Actually Know If an AI Agent Is Working Well?
A plain guide to what separates an AI agent that actually works from one that just looks good in a demo.
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How AI Agents Stopped Forgetting: What Skills Actually Do
A plain guide to what AI agent skills are, how they work under the hood, and what they actually change about what an agent can reliably do.
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The Four Levels of AI for Business
AI for business ranges from a tool you prompt to a system that runs your operations — and knowing the difference is where strategy begins.
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How Hybrid Search Helps AI Get Context Right
How combining keyword precision with meaning based understanding gives AI systems the context they actually need.
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What Is an AI Brain and How Do You Actually Build One?
A persistent, searchable system that gives AI genuine context about your business. Here is what it is, how the architecture works across five layers, and what it takes to build one properly.
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Multi-Agent Orchestration: Architecture, Types & Use Cases
Agentic AI systems have evolved from isolated assistants into orchestrated collectives — where coordination across your entire tool stack ensures consistency, scale, and reliability. Here is how they work.
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Human-in-the-Loop AI: Why Your Agent Still Needs a Human in Charge
AI agents can plan, reason, and act across dozens of steps without you lifting a finger. That is exactly why knowing when to put a human back in the picture is one of the most important design decisions you can make.
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Understanding AI Agents — and Why They Matter
Everyone's talking about AI agents. But most explanations are either too vague or too technical. Here's a clear, practical breakdown of what they actually are, how they work, and what they can do for your business.
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