Do Not Outrun Your Headlights: Know Your Limits
Moving fast without visibility feels productive until the cost of mistakes becomes clear.
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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.
The SCORM 2004 Data Model
Tracking a score is simple. Tracking learning state correctly is not. SCORM 2004 introduced a data model that separates completion, success, and progress. If you misunderstand that separation, your LMS behavior will never be predictable.
AI Agents for Developers: The Mental Model That Actually Holds Up
Most confusion about AI agents starts with weak definitions. This article explains the mental model that holds up in real systems: an agent is a control loop around an LLM with tools, state, and observable execution.
Dead Programs Tell No Lies: Fail Fast and Loud
A loud failure today prevents a silent disaster tomorrow.