SSPLAX is a no-code visual platform for modeling and solving constrained operational decisions. Users build models as networks, with stages, resources and outcomes as nodes and routes, processes and decisions as edges. They then define an objective and constraints such as capacity, budget, labor, materials and policy. SSPLAX compiles the model into a linear or mixed-integer optimization problem, solves it, and explains the result: which constraints limit the outcome, why a target is infeasible, which small change would improve it most, and whether added budget or capacity creates value or merely shifts the bottleneck. It also supports assignment, blending and formulation, capacity allocation, and project-portfolio selection. Users can compare scenarios and test how recommendations change under different assumptions. Worked examples cover manufacturing, life sciences, AI infrastructure and decarbonization. SSPLAX is domain-agnostic, browser-based and requires no setup.