Status: 🧪 Active Lab: v8-nextgen/ (working branch) Canonical Version: v7-nextgen/ Philosophy: Reconstruction > Hallucination | Canon Emerges from Evidence
Read these first (in order):
.github/model-instructions.md- AI agent guidelinesdocs/AI_INTENT.md- Project philosophyv7-nextgen/README.md- Canonical entry point (stable)v8-nextgen/README.md- Lab branch (active experiments)
Launch the shareware collection:
./LAUNCH_GUI.sh # Mid-90s GUI launcher (mouse + keyboard)
# OR
./LAUNCH.sh # Classic text launcher (keyboard only)Playable versions are in /archive/:
- v3-eastland: Full graphical game (Pygame)
- v4-renderist: Cloud simulation demo
GLUTCHDEXMALL/
│
├── v7-nextgen/ ⭐ CANONICAL - Primary development path
│ ├── README.md # Start here for stable canon work
│ ├── canon/ # Authoritative entity definitions
│ ├── docs/ # Documentation
│ ├── src/ # Source code (white box skeleton)
│ ├── data/ # Game data
│ └── assets/ # Photos, maps, media
│
├── v8-nextgen/ 🧪 LAB - Active experiments/working branch
│ ├── README.md # Start here for lab work
│ ├── canon/ # Experimental definitions
│ ├── docs/ # Documentation for experiments
│ ├── src/ # Prototype source code
│ ├── data/ # Experimental data
│ └── assets/ # Lab media
│
├── ai/ 🤖 AI-Native Tooling
│ ├── spynt/ # Character spine schemas
│ ├── sora/ # Video generation templates
│ ├── mallOS/ # Simulation state management
│ ├── renderist/ # Lore and metaphysics
│ ├── pipelines/ # Automation scripts
│ └── models/ # ML artifacts (future)
│
├── archive/ 📚 Historical Context (v1-v5)
│ ├── v1-doofenstein/ # Original Wolf3D-style game
│ ├── v2-immersive-sim/ # Advanced AI architecture
│ ├── v3-eastland/ # Pygame graphical engine
│ ├── v4-renderist/ # Cloud-driven world
│ ├── v5-eastland/ # CRD reconstruction docs
│ └── misc_unused_assets/ # Legacy files
│
├── docs/ 📖 Project Documentation
│ ├── AI_INTENT.md # AI philosophy
│ ├── AI_MEMORY.md # Project memory/context
│ ├── AI_FILES_SUMMARY.md # File reference guide
│ └── VERSION_MATRIX.md # Version comparison
│
├── .github/
│ └── model-instructions.md # AI agent behavior guidelines
│
├── launcher_gui.py # GUI launcher (Windows 95 style)
├── shareware_gen_v2.py # Program generator
├── LAUNCH_GUI.sh / LAUNCH.sh # Quick launch scripts
│
├── VERSION_GUIDE.md # Detailed version history
├── LAUNCHER_README.md # Launcher documentation
└── README.md # This file
An AI-native, multi-era simulation of Eastland Mall (Tulsa, OK, 1981-2011), treated as a civic-scale interior megastructure, not a simple game level.
Civic-Scale Architecture
- ~1,000,000+ sq ft total footprint (~15-17 football fields)
- Tensile sail roof with masts reaching 60-80+ feet
- Atrium diameter: 150-200+ feet (space station scale, not building scale)
- Two-level structure with sunken food court
Multi-Era Timeline
- 1981: Opening year - optimistic, tensile roof new
- 1995: Peak era - fully occupied, bustling
- 2005: Decline period - vacancies, atmosphere shift
- 2011: Closure year - abandonment, memory
All eras are canon. Contradictions reveal layers.
Cloud-Driven Reality
- Global Cloud pressure (0-100)
- Four moods: tension, wander, surge, bleed
- Reality shifts based on NPC contradictions
- 60fps simulation, Cloud tick every 10 frames
Status: White box - clean slate for AI-assisted rebuild
What exists:
- Directory skeleton (canon/, docs/, src/, data/, assets/)
- Comprehensive READMEs
- Entry point placeholder (
src/main.py)
What's next:
- Canon entity definitions (characters, zones, items)
- MallOS simulation engine implementation
- NPC AI system
- Multi-era timeline switching
- Video generation integration
Status: Frozen - reference only, do not modify
Historical versions preserved for:
- Architecture patterns (v2 AI, v4 Cloud)
- Metrology foundation (v5 CRD measurements)
- Gameplay reference (v1, v3)
- Evolution context
GLUTCHDEXMALL is part of GitHub's AI-Native Development Cohort.
Before generating code:
- Read
.github/model-instructions.md(non-negotiable) - Check
docs/AI_INTENT.mdfor philosophical constraints - Reference
archive/v5-eastland/for scale/measurements - Use schemas from
/ai/(spynt, mallOS, renderist)
Key principles:
- Reconstruction > Hallucination - base on photo evidence
- Metrology first - escalator = 8" step height, 30° incline
- Civic scale - airport concourse interior, not small building
- CRD workflow - classify, reference, document before implementing
When building in v6:
- All new work goes in
v6-nextgen/ - Use
/archive/for context only (don't modify) - Validate against
/ai/schemas - Follow CRD methodology (v5 patterns)
- Reference
archive/v5-eastland/README_ARCHITECTURAL_CONTEXT.mdfor scale
v6-nextgen/README.md- Start here for v6 development.github/model-instructions.md- AI agent rulesdocs/AI_INTENT.md- Project philosophyarchive/v5-eastland/README_ARCHITECTURAL_CONTEXT.md- Critical scale warnings
VERSION_GUIDE.md- Version history and comparisonLAUNCHER_README.md- How to use launchersdocs/VERSION_MATRIX.md- Version feature matrixai/README.md- AI tooling overview
archive/v5-eastland/docs/crd/- CRD workflow documentsarchive/v4-renderist/README.md- Cloud architecturearchive/v2-immersive-sim/README.md- AI systems reference
# Launch GUI (recommended)
./LAUNCH_GUI.sh
# Or launch text-based
./LAUNCH.sh
# Or directly run a version
cd archive/v3-eastland && python src/main_pygame.py
cd archive/v4-renderist && python src/main.py# 1. Read the canonical README
cat v6-nextgen/README.md
# 2. Review AI guidelines
cat .github/model-instructions.md
# 3. Check scale context
cat archive/v5-eastland/README_ARCHITECTURAL_CONTEXT.md
# 4. Explore AI tooling
ls -R ai/
# 5. Start building!
cd v6-nextgen/src/# (Future) Validate schemas
python ai/pipelines/validation/validate_all.py
# (Future) Process photos
python ai/pipelines/photo_processing/batch_classify.py-
Accurate Reconstruction
- Use CRD methodology to measure and document Eastland Mall from photos
- Maintain civic-scale architecture (no shrinking!)
- Multi-era timeline with full contradictions preserved
-
AI-Native Implementation
- Structured schemas for all entities (characters, zones, items)
- Automated pipelines for photo classification and validation
- Integration with video generation (Sora/Runway)
-
Playable Experience
- Cloud-driven simulation with reality shifts
- NPC AI with memory and contradictions
- Multi-era exploration (switch between 1981/1995/2005/2011)
-
Historical Preservation
- Document mall architecture and culture
- Honor original KKT design (tensile roof pioneers)
- Archive community memories
For contributors:
- Work in
v6-nextgen/(never modify/archive/) - Follow CRD workflow (classify, reference, document)
- Validate measurements (escalator standards, civic scale)
- Reference photos from
v6-nextgen/assets/photos/ - Check AI guidelines before committing
For AI agents:
- Always read
.github/model-instructions.mdfirst - Respect version chronology (v1-v5 are historical)
- Build in v6, reference archive for context
- Validate against metrology constraints
- Mark assumptions explicitly
Architecture: KKT Architects (original Eastland Mall design, 1981) Photos: Community archives, historical documentation Code: Open source, AI-assisted development Project: AI-native reconstruction of civic-scale architecture
Special thanks:
- Historical Tulsa archivists
- Mall culture preservationists
- AI-native development community
- Canonical Version:
v6-nextgen/⭐ - AI Tooling:
ai/ - Archive:
archive/(v1-v5) - Documentation:
docs/ - Launchers:
LAUNCH_GUI.sh|LAUNCH.sh
Status: Active development - AI-native cohort (GitHub) Version: 6.0-dev (white box) Last Updated: 2025-11-21
╔════════════════════════════════════════════════════════════════╗
║ ║
║ "V6 is the future. Everything else is archaeology." ║
║ "Canon emerges from resonance and repetition, not ego." ║
║ "Reconstruction > Hallucination" ║
║ "Space station with a parking lot, not a building." ║
║ ║
╚════════════════════════════════════════════════════════════════╝
Read v6-nextgen/README.md to begin.