Most xAPI reporting problems begin long before the dashboard. They start when teams emit valid statements without defining stable identity, IDs, context, registration, and result semantics that reporting can trust.
Memory bugs in AI agents usually come from bad writes, not weak recall. Learn how to design write policies that decide what an agent should persist, when it should write, and when it should not.
Security is strongest when it is built into every boundary, permission, and design decision instead of added at the end.
“HTTP success does not mean valid xAPI. Learn a layered debugging workflow for rejected statements, cmi5 contract issues, batch failures, and accepted data that still breaks reporting.
Procedural memory is not about facts or chat history. It is the reusable method an agent follows to complete recurring tasks. This article explains why skills matter, how they work, and why they make agents behave more like software systems than chat systems.
Property-based testing moves beyond hand-picked examples by testing the rules that should remain true across many possible inputs.
Valid xAPI statements are not enough. This article shows how to instrument video, assessments, and branching scenarios with consistent verbs, stable IDs, and one registration so learner behavior stays reconstructable later.
Most long-running agent failures are context failures, not reasoning failures. This article explains how context compaction keeps the hot path small, preserves recoverability, and turns memory management into an operational policy.
Tests do more than catch defects. They document behaviour and give developers the confidence to change software safely.
Valid xAPI statements are not enough. This article shows how to instrument video, assessments, and branching scenarios with consistent verbs, stable IDs, and one registration so learner behavior stays reconstructable later.