Blog tagged as Agentic Workflows

Chunking, granularity, and how systems learn what matters.

Intelligent systems do not operate on knowledge alone. They operate on context: the instructions, constraints, definitions, data, and rules that shape how they interpret a task and decide what to do

Why human optimism accelerates progress, but system optimism requires boundaries.

Reasoning, planning, tool use, and the shift from automation to coordination.

Decision environments, feedback loops, and the rise of learning systems.

Modern AI systems are easy to adopt. They come packaged as APIs, assistants, plugins, and platform features that integrate quickly and deliver compelling demonstrations with minimal effort. This accessibility creates the impression that capability and value scale together. They do not.

How intelligent behaviour emerges not from AI models alone, but from the environments we create.