Module 01 · exact solver
The chart is the proof.
Every cell is the EV-maximizing action for the rules at left. Change a rule and the solver re-derives the whole chart, the house edge, and the simulation target.
Module 03 · proof by simulation
Make the number move.
The Monte Carlo worker will run up to 10 million hands against the solved strategy, draw a shrinking 95% confidence band, and compare six strategies on the same seed.
Simulation checkpoint
The convergence chart lands here after the finite-shoe engine.
Module 04 · card counting
Count the shoe, not a feeling.
Hi-Lo true count, solver-derived edge by count, a bet-ramp simulator with risk of ruin, index plays, and a speed trainer.
Counting checkpoint
The finite-shoe solver will feed this lab.
Module 05 · play mode
Sit down. Get graded.
A real shoe with penetration and a cut card, a count-aware coach, EV lost per decision, and a session log you can export.
Play checkpoint
The table and coach arrive after the solver and simulator.