PULSE

Engineering Philosophy: Parametric Scaling

The PULSE ecosystem is designed to be hardware-agnostic, supporting a vast array of haptic motors with varying shapes, displacements, and voltages. Instead of manually redesigning enclosures for every iteration, we use high-performance Parametric Logic to instantly generate the precision Shell and Sled assemblies for any component stack.

(Note: I got sidetracked auditing the best real-time parametric modeling browser-based solutions for 2026, this multi-environment comparison below is the technical result).

• ForgeCAD (Declarative / AI-Friendly): This approach is essentially "CAD as Code." It abstracts away the complex handle-management of WASM and the boiler-plate of UI creation. For AI agents, it is the most robust because its syntax mirrors high-level design descriptions.
• Manifold JS (Low-Level Kernel): This is the powerhouse. It allows for advanced geometry operations (like tombstone intersections and dynamic lip subtractions) at near-instant speeds. It is the "Engine" that the other frameworks rely on for complex booleans.
• OpenJSCAD (Functional CSG): This framework treats geometry as a pure function of its parameters. While slightly slower than Manifold for heavy boolean tasks, it is highly portable as it doesn't require a WASM binary for the core logic.