Learn to outsmart AI—by playing. ThinkRank transforms advanced AI concepts into viral, bite-sized challenges that feel like a game and level up your real-world AI literacy while contributing to cutting-edge research.

🎯 Learn More • 📱 Coming Soon to App Stores • 🎞️ Watch Demo • 👥 Join Research Community

• AI is everywhere—so are deepfakes, bias, and hallucinations.
• Most tools teach features; ThinkRank trains judgment.
• You’ll master bias detection, research workflows, and ethical AI—while contributing valuable research data that advances AI safety.

Collect challenge packs across five transparent rarity tiers that map to learning depth—not paywalls:

• Common: starter drills that build pattern recognition
• Uncommon: context and prompt‑sensitivity challenges
• Rare: cross‑modal (text + image) detection scenarios
• Epic: nuanced bias/ethics tradeoff simulations
• Legendary: expert‑level research investigations, time‑boxed and collaborative

What drops:

• Challenge Packs: curated sets by topic (bias, provenance, safety)
• Insight Cards: distilled lessons unlocked from your play
• Research Threads: community investigations you can join and rank in

Odds are published in‑app. No pay‑to‑win. Progress is skill‑based and education‑first.

• Spot subtle linguistic tells, stylistic artifacts, and sampling biases
• Compare model outputs, trace likely training influences
• Calibrate confidence and justify decisions under uncertainty

• Validate sources, triangulate claims, and cite evidence
• Log reasoning steps; receive instant feedback and exemplars
• Join live investigations of trending AI‑generated content

• Social sharing of Insight Cards and clutch solves
• Global leaderboards, seasons, and achievement streaks
• Party play and classroom modes for cohort learning

• Onboarding: fast calibration of your current AI literacy
• Adaptive Path: challenges personalize to your strengths and gaps
• Mastery Checks: prove competence through timed, mixed‑modality rounds
• Recognition: earn shareable badges and optional certificates aligned to real competencies

ThinkRank’s challenges double as privacy‑preserving research tasks that advance AI safety.

• Contribute to collective understanding of bias, detection limits, and evaluation best practices
• Unlock meta‑insights that explain where and why detection succeeds or fails
• Access anonymized, aggregated learning analytics about your own progress

• Research‑only data use: gameplay data is used exclusively for educational research and AI safety advancement
• Privacy by design: identifiers removed, k‑anonymity and aggregation enforced, with differential privacy where appropriate
• Governance: IRB/ethics board alignment for studies; transparent data dictionaries and retention windows
• Access policy: insights are sold only to accredited universities, public benefit corporations, and mission‑aligned nonprofits
• No commercialization for profit: no ad targeting, no sale to ad networks, no data brokering
• Compliance: GDPR/CCPA supported; export/erase on request; clear in‑app consent and controls

Read the full policy in the in‑app Privacy Center at launch.

• Coming soon to the Apple App Store and Google Play
• Enterprise‑grade foundation already in place; content and live events ramping
• Beta cohorts forming for educators, researchers, and student groups

Focus: Establish robust technical foundation for AAA-quality gaming experience

Key Deliverables:

• ✅ Microservices architecture with 60fps performance baseline
• ✅ Cross-platform Unity client with Metal/Vulkan optimization
• ✅ Authentication and user management system
• ✅ Core database schema with research integration
• ✅ Performance monitoring and analytics pipeline

Technical Highlights:

• Sub-200ms response times across all interactions
• 99.9% uptime architecture with automated failover
• Advanced memory management and asset streaming
• Real-time multiplayer infrastructure

Focus: Implement AAA-comparable game mechanics with educational depth

Core Game Titles Preview:

• iOS/Android Optimization: ARKit/Core ML integration for real-world bias detection
• Gameplay: Shadow of the Colossus-style boss battles against AI bias manifestations
• Educational Integration: Each defeated bias unlocks research contribution opportunities
• Visual Fidelity: Horizon Forbidden West-level graphics with dynamic bias visualization

• iOS/Android Optimization: SceneKit/Metal performance optimization for complex 3D puzzles
• Gameplay: Procedurally generated AI ethics challenges with permanent progression
• Educational Integration: Each floor represents different AI research domains
• Visual Fidelity: Monument Valley-inspired architecture with neural network visualizations

• iOS/Android Optimization: Vulkan/Metal API optimization for 120fps competitive gameplay
• Gameplay: Fast-paced bias detection matches with ranking and tournaments
• Educational Integration: Real-time AI evaluation challenges during matches
• Visual Fidelity: Rainbow Six Siege-level tactical environments with AI behavior simulation

• iOS/Android Optimization: Unity DOTS for massive multiplayer social simulation
• Gameplay: Build and defend digital societies from AI misinformation
• Educational Integration: Community-driven research validation and consensus building
• Visual Fidelity: Cities: Skylines-style city building with information flow visualization

• iOS/Android Optimization: Advanced shader pipeline for magical AI effects
• Gameplay: Epic quest to master AI literacy across multiple realms
• Educational Integration: Each realm focuses on different AI research areas
• Visual Fidelity: Breath of the Wild-level open world with dynamic AI ecosystem

Focus: Deep integration of cutting-edge AI research with game mechanics

Research Partnerships:

• Stanford HAI: Human-AI alignment challenges
• MIT CSAIL: Advanced bias detection scenarios
• Google DeepMind: Safety and ethics integration
• OpenAI: Alignment and value learning systems

Advanced Features:

• Real-time research problem distribution
• Player contribution quality validation
• Dynamic difficulty adjustment based on research needs
• Cross-platform save synchronization

Focus: Polish, optimization, and launch readiness

Beta Testing Phases:

• Internal testing: Performance and stability validation
• Closed beta: Research institution partners
• Open beta: Educational institution testing
• Soft launch: Gradual market introduction

Launch Targets:

• 60fps consistent performance on iPhone 12+/Galaxy S21+
• <200ms response times for all interactions
• Zero-downtime deployment architecture
• Comprehensive accessibility features

• Frame Rate: 60fps minimum, 120fps target on high-end devices
• Load Times: <3s app startup, <1s level transitions
• Memory Usage: <500MB baseline, <1GB during intensive gameplay
• Network: <200ms API responses, <50ms real-time features

• Learning Progression: Measurable AI literacy improvement
• Research Quality: 85%+ expert validation of player contributions
• Engagement: 15+ minutes average session length
• Retention: 70% day-7 retention, 40% day-30 retention

• Crash Rate: <0.1% across all platforms
• Accessibility: WCAG 2.1 AA compliance
• Localization: 15+ language support
• Platform Optimization: Apple App Store and Google Play feature parity

Join early access: [email protected]

• Seven microservices architecture
  • Authentication • Game • AI Research • Social • Analytics • Realtime • API Gateway
• Mobile‑first Unity client for iOS and Android with native‑feel performance
• Real‑time multiplayer and events via secure WebSockets
• AI integration for adaptive difficulty, feedback, and research workflows
• Enterprise security: strong encryption, zero‑trust networking, comprehensive auditability
• Production SRE stack: metrics, logs, and traces with actionable alerts

Deep dives:

• Architecture, deployment, and SRE docs (coming soon in docs/)

For players

• Train your eye. Beat the leaderboards. Share your Insight Cards.

For educators

• Run classroom leagues, assign challenge packs, assess real competencies.

For researchers

• Launch studies quickly, recruit cohorts, and analyze anonymized outcomes.

For developers

• Contribute gameplay, evaluation pipelines, and accessibility improvements.

Get involved

• Issues: https://github.com/clduab11/thinkrank/issues
• Discussions: https://github.com/clduab11/thinkrank/discussions
• Discord: https://discord.gg/thinkrank
• Email: [email protected]

MIT License. Open for community contribution while protecting player privacy and research integrity.

Inspired by citizen science and serious games, including McGill’s Phylo. Thank you to the researchers, educators, and open‑source communities moving AI literacy forward.