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Key systems include:
- Collision detection (AABB)
- Particle burst system for interactions
- Screen shake and slow-motion effects
- Narrative memory synthesis system
- Collapse mode visual degradation system
How I Built It
I started with a simple canvas-based platformer and gradually evolved it into a narrative-driven experience.
The core design decision was to avoid traditional "win/lose" mechanics and instead focus on emergent storytelling through systems.
Key implementation steps:
Built a physics-based movement system (A/D + jump)
Added procedural spawning of "knowledge capsules"
Designed a dynamic time system where each day becomes shorter
Implemented a shrinking sun to visually represent entropy
Introduced a "collapse mode" after Day 7 where visual glitches and terminal corruption begin
Created a memory synthesis system that generates a final narrative based on collected data
To improve game feel, I added several "juice" effects:
Particle bursts on pickup
Camera shake on interaction
Slow-motion moment during collection
Terminal-style archival feedback
These small additions significantly improved immersion and emotional feedback.
Prize Category
🧠 Best Ode to Alan Turing
The game’s narrative structure is inspired by computational memory and symbolic reconstruction of information — concepts closely aligned with Alan Turing’s legacy.
The "memory synthesis system" at the end of the game reconstructs a final narrative from fragmented data, similar to how an intelligent system interprets incomplete information.
🤖 Best Google AI Usage
The concept of emergent storytelling and memory reconstruction was designed with AI-inspired thinking in mind.
The final system behaves like a simplified symbolic model that reconstructs meaning from partial inputs, similar to how modern AI systems generate coherent narratives from fragmented context.