The improvement loop
AI Baseline is designed around a continuous improvement loop:
- 1Assess — Take the evaluation to get your baseline
- 2Review — Study your score breakdown and learning plan
- 3Practice — Work through the exercises in your weakest dimensions
- 4Check — Use progress checks to gauge readiness
- 5Reassess — Retake to measure real improvement
This loop is perpetual. Even high scorers have dimensions they can refine. The goal is not to reach a perfect score but to keep expanding your practical AI capabilities.