Every figure below is the actual output of Chameleon's server-side chart system — the same SVGs its AI tutorials embed. Each preset computes its domain result before it draws: the Nash equilibrium is found, the Riemann sum is summed, the titration curve passes through the real pKa. Any chart can carry a predict-then-reveal prompt. One demo spec per registered chart type — all 47 types shown, in seven course families.
Every mathematical figure computes its own result server-side — the Riemann sum really sums, the tangent slope really is the derivative.
Midpoint balances the error on a convex curve — it lands very close (Σ ≈ 21.25 vs the true 21.33).
The classic diagrams with the equilibrium actually solved: intersections, surpluses and shifts are computed from the given curves.
Both cut prices: Low/Low is the only mutual best response.
ggplot-quality statistical graphics, plus the inference figures textbooks only describe: rejection regions, CLT panels, natural-frequency trees.
Free-body diagrams that sum their forces, lenses that solve the lens equation, circuits that apply Ohm's law.
Reaction coordinates, titration curves at the real pKa, aufbau-filled orbitals, Punnett ratios counted for you.
Argument structure made visual: element checklists that verdict themselves, weighed balancing tests, annotated primary sources.
Pointers as addresses, bits as boxes — the two diagrams every CS1 student needs, generated from real values.