Echelon ran two finished tracks before the current term. The AI workshop was a short lab: students had to judge an answer, not only generate one. Python DSA ran longer. Students wrote solutions, then reviewed them the way a teammate would, including the cases the first pass missed. Faculty kept both sets of lab notes.

The workshop cohort can say where a model failed. The DSA section can walk through a solution and the cases it misses.