Practical notes on XR, AI and digital products
Short, useful writing from the Mach Square team on building immersive training, automation and production-ready software.
Designing VR training that operators trust
A practical checklist for turning immersive training from a demo into a repeatable learning tool.
Latest writing
AI automation without breaking operations
How to choose the first automation use case and ship it without disrupting the team that already owns the work.
Portfolio sites that sell complex technical work
A simple structure for presenting XR, web, mobile and 3D work to buyers who need proof before they book a call.
XRHow to scope a VR training project before opening Unity
The questions I answer before production starts on a VR training simulation, from learning goals to hardware, safety, assessment, and update paths.
Meta QuestA practical Meta Quest performance budget for XR training apps
How I think about frame rate, draw calls, lighting, textures, physics, and interaction cost when building standalone VR training apps for Quest.
XRBuilding multilingual XR training with JSON content packs
A simple content architecture for VR and AR training apps that need multiple languages, regional terminology, and client-specific lesson text.
XRWhy offline-first VR matters for enterprise XR training
Why we build every Meta Quest VR training platform to run fully offline — and why hospitals, factories, and field sites quietly insist on it.
WebXRWebXR or native Quest app? How I choose for client demos
A practical comparison of WebXR and native Meta Quest builds for product demos, training previews, sales enablement, and internal pilots.
Medical XRDesigning medical VR simulations that instructors can trust
Medical VR is not just about realism. Instructors need scenario control, readable feedback, repeatable assessment, and clear limits.
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