- In short
- Decision logging captures the inputs, retrieved context, model output, and every routing step for each decision, tied together so a single decision can be reconstructed and explained later. It is the same observability instrumentation used for system health, redirected toward explaining a specific decision rather than monitoring the system. A decision that cannot be reconstructed from the log cannot be reliably explained, and decision logs are themselves sensitive data subject to the same compliance controls as any other regulated data.
Full concept guide coming soon
We are building the in-depth, exam-aligned guide for this knowledge point. In the meantime, explore the prerequisites and related concepts below, watch the official Anthropic Academy lessons, and start an adaptive study session to master it with Archie.
Watch and learn
Official Anthropic Academy lessons first, then hand-picked walkthroughs. Videos load only when you press play.
No videos curated for this concept yet
We are still curating the best official and community videos for this topic.
References & primary sources
Adaptive study
Master this concept with Archie
Practice it inside an adaptive study session. Archie, your Socratic AI tutor, tracks your mastery with Bayesian Knowledge Tracing and schedules the perfect next review.