Prompting can improve a single run, but it cannot prove that an agent workflow is reliable. This article explains how traces, scorecards, offline evals, and online monitoring turn agent quality into an engineering discipline.
Inheritance feels elegant at first, but deep hierarchies often charge interest later.
Migrating from SCORM 1.2 to SCORM 2004 is not a version upgrade. It is a behavioral redesign. If your migration strategy only updates API calls and manifest versioning, you are not migrating. You are creating hidden inconsistencies.
If an agent fails and you only have the final answer, you are debugging blind. This article explains how useful traces expose the exact step, tool, state, or context failure that actually broke the run.
When you reduce hidden state and focus on clear transformations, debugging turns from detective work into simple reasoning.
SCORM 2004 is not one specification. It is a family of editions. If your content behaves differently across LMS platforms, the issue may not be your implementation. It may be how each system interprets a specific edition.
Reliable agents are not the ones that never fail. They are the ones that fail into the right path. Here is how to classify tool failures into retry, replan, user input, or hard stop, and why retry policy belongs at the tool boundary.
Real world software fails not because it is complex, but because it was designed for ideal conditions.
In SCORM 2004, the manifest is not just structure. It is behavior. If sequencing fails, navigation breaks, or activities become unreachable, the root cause is often not your code. It is your imsmanifest.xml.
Most bad agent experiences come from bad stopping decisions. Learn how to design stop logic in code with explicit exit states, tool signals, step limits, and traceable runtime policies.