**Problem:**
- player-ownership.ts imported drizzle-orm and @/db at top level
- When RoomMemoryPairsProvider imported client-safe utilities, Webpack bundled ALL imports including database code
- This caused hydration error: "The 'original' argument must be of type Function"
- Node.js util.promisify was being called in browser context
**Solution:**
1. Created player-ownership.client.ts with ONLY client-safe utilities
- No database imports
- Safe to import from 'use client' components
- Contains: buildPlayerOwnershipFromRoomData(), buildPlayerMetadata(), helper functions
2. Updated player-ownership.ts to re-export client utilities and add server-only functions
- Re-exports everything from .client.ts
- Adds buildPlayerOwnershipMap() (async, database-backed)
- Safe to import from server components/API routes
3. Updated RoomMemoryPairsProvider to import from .client.ts
**Result:**
- No more hydration errors on /arcade/room
- Client bundle doesn't include database code
- Server code can still use both client and server utilities
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implemented a new complement arithmetic game with three distinct modes:
Practice Mode (Linear Track):
- Race against AI opponents on a straight track
- Fixed race goal with finish line
- Traditional racing format with visual progress indicators
Endless Circuit (Circular Track):
- Infinite laps around an oval track
- Continuous gameplay with lap tracking
- AI racers with personality-driven commentary system
Steam Sprint (Train Journey):
- 60-second timed challenge with momentum-based gameplay
- SVG railroad track with dynamic curved paths that vary by route
- Passenger delivery system with station stops
- Momentum decay mechanic balanced by skill level
- Animated sky gradient with time-of-day progression (dawn to night)
- Route progression system with 10 themed routes
- Enhanced pressure gauge and visual effects (steam, coal particles)
- Geographic landmarks themed to each route
Core Features:
- Adaptive difficulty system that learns user performance patterns
- Real-time feedback based on speed and accuracy
- Comprehensive state management with React Context
- Multiple track visualization systems (linear, circular, SVG-based)
- AI personality system with dynamic commentary
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Thomas Hallock