CARBONGAMES

AI THROUGHOUT. TAILORED TO YOUR GAME.

From first click
to real play.

AI explores your game, builds a game-specific understanding of its menus and gameplay, runs focused checks, and turns the results into evidence and actionable guidance.

Watch the demonstrations ↓Explore the testing workflow ↗

Gameplay · Platform websites · Storefront journeys

01 / DISCOVER

Catalogs & storefronts

Explore listings, filters, access and supported devices.

02 / NAVIGATE

Web experiences

Check journeys, keyboard controls and responsive layouts.

03 / PLAY

Real gameplay

Learn menus and controls, then act inside the game.

04 / ADAPT

Player personas

Test with different goals and retain observed learning.

05 / INVESTIGATE

Settings & recovery

Inspect options, interruptions and paths back to play.

06 / VERIFY

Evidence you can use

Review footage, actions, findings and clear limits.

LEARN THE EXPERIENCE→PLAN THE TEST→PLAY WITH PURPOSE→VERIFY WHAT HAPPENED

TWO PLATFORMS. THE WHOLE PLAYER JOURNEY.

Explore the demos.

Switch between website and catalog checks, and real gameplay. Every view links to the evidence behind the story.

PLATFORM 01

Netflix

From finding a game to playing for points.

18-second recorded preview

The AI plays. The phone delivers.

AI controls a physical iPhone paired with Netflix Tetris. A custom-trained local Max Score policy chooses moves in the recorded Time Attack round.

1,260recorded points6lines cleared3 minround
Read the Netflix story ↗

One recorded run. Capture gaps are marked. Poster is promotional artwork. Other persona policies were not evaluated in this demo.

PLATFORM 02

Xbox

From cloud discovery to movement on screen.

65.6 seconds · Actual sampled sessionDownload video ↓

Learn the controls. Put them to work.

CARBON checked the catalog and entitlement, launched Planet of Lana II in Chrome, explored menus and settings, then moved and jumped in the live game.

  • First Timer: navigation and movement.
  • Settings Explorer: available controls.
  • Casual Player: reuse observed learning.
Explore the gameplay report ↗

One bounded session with sequential persona objectives. Local policy memory, not trained gameplay weights. Sampled footage has no audio; capture gaps are cut.

ONE PLAYER JOURNEY. MULTIPLE TEST SURFACES.

Test more than
the next high score.

01

Find the game

Explore storefronts and catalogs. Check search, filters, listing content, screenshots, supported devices, ratings and access information.

Storefront pilot scope
02

Reach the game

Follow platform pages, onboarding and launch paths. Examine keyboard navigation, responsive layouts, clear messaging and recovery.

Netflix + Carbon X website checks
03

Play the game

Learn menus and controls. Pursue a bounded goal. Inspect settings, interruptions and the feedback different player styles receive.

Demonstrated in Netflix + Xbox

App-store coverage is scoped per pilot and platform. The demonstrations here establish browser discovery and gameplay—not a completed Apple App Store or Google Play audit, installation test, or purchase flow.

AI FROM EXPLORATION TO EXPLANATION

Built around your game.
At every step.

A game-specific behavioral model connects what the AI learns to what it tests next: your menus, controls, states and gameplay—not just a generic script.

  1. 01

    Explore

    AI navigates the experience, discovers menus and controls, and records what actually happens.

  2. 02

    Understand

    Build a behavioral model of your game from observed states, actions and outcomes. Retain that context for the next decision.

  3. 03

    Play & test

    Plan focused checks and run varied player personas—from first-time exploration to goal-driven play—with clear boundaries.

  4. 04

    Analyze

    Use AI to examine interactions and results for bugs and failures. Extend a pilot with qualitative feedback on friction, fun and engagement.

  5. 05

    Explain & improve

    Generate quality reports with evidence and reproduction steps. Develop actionable repair prompts from verified issues to guide the next fix.

Demonstrated: exploration, live play, game-specific policy or memory, and evidence reports. Qualitative engagement analysis and game-specific repair prompts are pilot extensions to validate; these demos do not establish them end to end. AI persona feedback is not measured human enjoyment. Repair prompts guide investigation, not guaranteed fixes.

A behavioral model can be structured memory and decision policy. The Xbox demo demonstrates evidence-based adaptation, not neural model training; the Netflix demo uses a custom-trained local gameplay policy. Each report identifies what was actually exercised.

START WITH A GAME. LEAVE WITH EVIDENCE.

Bring us your
player journey.

Choose a title, platform and goal. Define the personas and boundaries. Review a recorded session and findings your team can reproduce.

See a sample deliverable ↗

Tell us what you want to test. Your request is marked for CARBON Games.