Adaptive AI Coach (Playable Demo)
Play a lo-fi 3D duck hunt while an AI coach watches your performance and adjusts the experience in real time. The game is the demo — the point is the adaptive coaching pattern you can reuse anywhere users need guidance.
How this demo works: you shoot ducks, the AI coach tracks hits and misses, then it changes difficulty and commentary.
What changes when AI Coach is on: duck speed and respawn timing auto-tune so sessions feel dynamic instead of static.
About HTML-in-canvas: this page tries the experimental route first, and if it is unavailable it uses a stable fallback path. This is how the coach’s reactive UI card is composited onto the in-world scoreboard.
Coach Control Panel
Checking HTML-in-canvas support.
What this demonstrates: A live AI coach that observes what a user is doing, decides whether they are struggling or in flow, and changes the experience on the fly — pace, visuals, and commentary — without reloading the page.
How it relates to your business: This same pattern runs adaptive onboarding, product tutorials, training simulators, sales-rep practice tools, and accessibility layers that simplify UIs for users who are getting lost. Anywhere a human learns or struggles, an agent can coach, adapt, and intervene before they drop off.
Pain it solves: Static training and one-size-fits-all interfaces lose users who move faster or slower than the average. Teams rebuild the same kind of onboarding flow over and over instead of letting an agent adapt it per user.
Who it is for: Product teams, L&D / training orgs, customer success, and accessibility leads who want users to succeed without hand-holding every session.
- Onboarding that slows down, adds hints, or unlocks advanced features based on how the user is actually performing.
- A sales training simulator that throws harder objections once a rep is winning easy calls.
- Accessibility mode that enlarges buttons and reduces motion the moment the agent detects hesitation or mis-clicks from an elderly user.
- Customer support copilot that jumps in with screen guidance when it sees a user repeat an error pattern.
