Learning Resources
Practice recall on your weak areas and explore the AI session skill landscape.
The Practice tab uses the SM-2 spaced repetition algorithm to schedule recall sessions on the five AI orchestration metrics: Skill Diversity, Decision Depth, Error Recovery Rate, Compound Learning Signals, and Orchestration Mastery. Items are generated only for metrics where a session scored below 40. Each item surfaces at increasing intervals — one day, three days, one week, and beyond — based on your self-reported recall quality.
The Knowledge Graph tab visualises 78 nodes and 35 edges across five conceptual layers that describe how AI orchestration skills develop and interact.
Prerequisite-based skill progressions within each metric domain. Each node represents a distinct capability — such as reading error output, isolating root causes, or applying targeted fixes — with a score range indicating at what performance level that skill typically becomes relevant.
Score-graded waypoints across all five metrics. Milestones are descriptive positions rather than hard gates: Novice (0–20), Developing (20–40), Competent (40–60), Proficient (60–80), and Expert (80–100). Each milestone lists observable indicators and recommended next steps.
Seven decision points where practitioners need guidance on prioritisation: breadth vs depth of tool use, when to delegate vs act directly, minimal fix vs refactor strategy, reactive vs proactive error handling, single-step vs multi-step planning, context reuse vs fresh context, and iterative vs exploratory learning.
Eight amplification connections showing how improvement in one metric lifts performance in others. For example, stronger Error Recovery feeds back into Compound Learning, and wider Skill Diversity unlocks more sophisticated Orchestration Mastery patterns.
Four growth-path templates derived from common score profiles: the Cautious Executor (high error recovery, low skill diversity), the Creative Generalist (high skill diversity, low decision depth), the Deep Thinker (high decision depth, low orchestration mastery), and the Balanced Operator (even scores across all five metrics).