Browser-native experiments. Click to explore.
How an AI system gets built — the studio takes any stage, or the whole run.
The shape of the system before any code — where AI genuinely helps, which models and tools fit, and how the pieces talk to each other.
Hands off to → Technical PM
The brief cut into shippable slices — scope, sequencing, and the honest calls on what is worth building, run alongside your team.
Hands off to → Rapid prototyping
A working demo in days, not decks. The fastest honest test of the idea, built on your real data so the answer means something.
Hands off to → Eval harnesses
Automated tests for AI behavior — real cases from your domain, scored on every change, so quality is measured instead of guessed.
Hands off to → Production hardening
Guardrails, fallbacks, rate limits, observability — the unglamorous layer that keeps a demo alive once real traffic arrives.
Hands off to → MCP and integrations
Wiring the system into the tools where work actually happens — MCP servers, APIs, data sources — so it acts instead of just chatting.
Ends with → A system in daily use
Built for the browser, no headset or install required. Hand tracking, pose, and WebXR — from classroom VR to hands-on exhibits.
Pairs with → Any stage above
Take one stage or the whole run. Every engagement starts with a call.
Book a callBuilt and run by the studio.
Run live training sessions, keep every cohort engaged, and prove the results with real effectiveness data.
tryplaybook.io →A VR learning platform — standards-aligned lessons, headset management, and a classroom-ready content library.
learningtimevr.com →Career exploration in VR — students step inside real professions before choosing one.
In the works