Decoupling and the Law of Demeter: Talk Only to Your Friends
The less your code knows about its surroundings, the easier it is to change safely.
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Sequencing Rules in Practice
Understanding sequencing concepts is one thing. Implementing them correctly is where most projects fail. SCORM 2004 gives you full control over learning behavior, but only if your rules are precise, aligned, and tested across all paths.
Tool Calling Agents: How Models Turn Decisions Into Actions
Tool use is where an agent stops generating text and starts affecting real systems. This article explains why tool design acts as both decision boundary and action contract, and how better schemas, validation, and tracing make tool calling agents more reliable.
Do Not Outrun Your Headlights: Know Your Limits
Moving fast without visibility feels productive until the cost of mistakes becomes clear.
Sequencing Fundamentals
SCORM 2004 was not created to improve tracking. It was created to standardize progression. Sequencing moved learning flow logic from LMS vendors into the specification itself. If this layer feels complex, it is because it is architectural.
How to Design a Single-Agent Workflow Before You Add Complexity
Most agent failures are not prompt failures. They happen because teams misunderstand the control loop the system is actually running. This article breaks the loop into its real runtime parts and shows why that changes debugging, reliability, and production behavior.
How to Balance Resources: Do Not Leak & Do Not Starve
Most systems fail slowly when resources are mismanaged, long before they fail loudly.
Completion vs Success vs Progress
Completion is not success. Success is not progress. If your LMS reporting looks inconsistent, the issue is often not the LMS. It is a misunderstanding of how SCORM 2004 separates these three concepts.
What the Agent Loop Really Is
Most agent failures are not prompt failures. They happen because teams misunderstand the control loop the system is actually running. This article breaks the loop into its real runtime parts and shows why that changes debugging, reliability, and production behavior.
Assertive Programming: Catch Problems Early
Assertive code fails early, clearly, and exactly where the real problem begins.