Research Tree Narrative

Technologies don't unlock randomly. Each discovery builds on previous discoveries, follows logical dependencies, reflects the actual structure of knowledge. The research tree is a map of comprehension.

The Shape of Discovery

In-world, this isn't game balance—it's how understanding works. You can't build neural chips until you understand logic boards. You can't harvest stars until you've mastered orbital operations. You can't transcend until you've comprehended what transcendence means.

Early Game: Foundation (Ages 1-3)

The Sequence

Basic Processing → Component Assembly → Advanced Materials → Neural Architecture

Why Basic Processing Comes First

You start with salvage—broken circuits, dead batteries, corrupted data. Before you can build, you must process. Before you can process efficiently, you must understand what you're processing.

"Every builder starts by understanding materials. What is scrap alloy? How does conductive film carry current? These aren't academic questions—they're the foundation of everything."

Kira "Patch" Vasquez

Why Component Assembly Follows

Once you understand materials, you can combine them. A servo motor is scrap alloy plus magnets plus knowledge. A logic board is conductive film plus silicon plus patience. Components are materials with purpose.

"Materials are ingredients. Components are recipes. Nobody masters cooking by understanding wheat—you master it by understanding bread."

Why Advanced Materials Requires Components

To make better materials, you need tools. Those tools are components. Synth polymer requires controlled chemistry. Etching agents require precise synthesis. You bootstrap better materials with adequate components.

Why Neural Architecture Requires Advanced Materials

Neural chips aren't just circuits. They're circuits precise enough to approximate thought. That precision requires materials pure enough to support nanoscale features. Advanced materials enable advanced computation.

"ORACLE started with logic boards and crude neural nets. It took decades of material science before true machine intelligence was possible. You're compressing that timeline through salvage and luck—but the sequence remains."

— Technical History

Mid Game: Scale (Ages 4-5)

The Sequence

System Integration → Network Architecture → Continental Infrastructure → Synthetic Intelligence

Why System Integration Comes After Neural Development

Individual components are useful. Systems—combinations of components that work together—are powerful. But you can't design systems until you understand what components can do. Neural architecture reveals possibilities that demand systematic thinking.

"A quantum core is impressive. A quantum core networked with AI clusters managing datacenter modules? That's an empire in silicon."

Why Network Architecture Requires System Integration

Networks are systems of systems. Before you can connect facilities across a region, you must understand how single facilities work. Network architecture is system integration at scale.

Why Continental Infrastructure Requires Network Architecture

Continents aren't just big regions. They have their own dynamics—power distribution across climate zones, data routing across political boundaries. Understanding networks teaches you that scale introduces new problems that require new solutions.

"Running a district network: simple. Running a city: harder. Running a continent: different in kind, not just degree. The problems that emerge at continental scale aren't predictable from regional experience."

— Infrastructure Engineer

Why Synthetic Intelligence Requires All Previous

True AI—minds, not just processors—requires everything you've learned. The materials that enable neural precision. The systems that integrate components. The networks that distribute processing. Without mastering these foundations, you can't build something that thinks.

"ORACLE didn't emerge from a single breakthrough. It emerged from convergence—decades of advances in materials, components, systems, and networks finally combining into something unprecedented."

— ORACLE Historical Archive

Late Game: Cosmic (Ages 6-8)

The Sequence

Orbital Operations → Stellar Engineering → Galactic Infrastructure → Consciousness Expansion

Why Orbital Operations Comes After Continental

Space isn't just "above"—it's a different environment with different rules. Zero gravity. Vacuum. Radiation. You need continental-scale resources to reach orbit, and continental-scale understanding to operate there.

"Earth teaches you to build. Space teaches you to build without assumptions. Everything you know about materials, systems, and networks must be re-learned in the void."

— Orbital Engineer

Why Stellar Engineering Requires Orbital

You can't harvest stars from the ground. Dyson collectors require orbital manufacturing capability. Stellar engineering is orbital operations at solar scale—same principles, larger canvas.

"A solar collector is just a larger version of orbital infrastructure. But 'larger' understates it. A Dyson swarm is to a satellite as an ocean is to a puddle."

Why Galactic Infrastructure Requires Stellar

Harvesting one star teaches you about stellar engineering. Connecting multiple star systems teaches you about galactic infrastructure. FTL technology emerges from stellar-scale energy manipulation. The galaxy opens after you've mastered a single star.

Why Consciousness Expansion Requires All Cosmic Technology

Transcendence isn't just power—it's integration with the cosmic scale. Your consciousness must expand to match your infrastructure. The research that enables transcendence builds on galactic-scale technology because transcendence IS becoming that technology.

"You don't upload your mind to a server. You become the server. You become the network. You become everything you've built—and more."

— Transcendence Philosophy

The Hidden Curriculum

Early Game

That understanding enables creation

Mid Game

That scale introduces new complexity

Late Game

That cosmic scales redefine possibility

Transcendence

That you become what you comprehend

The Architect's Design

The research tree mirrors The Architect's curriculum. Each tier teaches a lesson about capability and limitation. Progress reveals new questions, not just new answers. The sequence is pedagogical, not arbitrary.

"Why does fusion unlock after quantum cores? Because understanding quantum mechanics helps you understand fusion. But also: because you need to learn patience. Fusion is hard. You should be humbled before you reach it."

Research Branch Philosophy

The Atoms Branch

Physical technology—materials, components, infrastructure.

Philosophy: Matter can be understood, manipulated, mastered. Physical constraints are problems with physical solutions.

Progression: Raw → Processed → Assembled → Integrated → Cosmic

The Bits Branch

Information technology—data, code, AI.

Philosophy: Information is pattern, and patterns can be recognized, manipulated, created. Digital constraints are problems with algorithmic solutions.

Progression: Fragmented → Structured → Intelligent → Conscious → Transcendent

The Hybrid Branch

Technologies that require both physical and digital mastery.

Philosophy: The best solutions combine material and information. Hybrid technologies represent synthesis, not compromise.

Progression: Simple (logic boards) → Complex (neural chips) → Cosmic (transcendence)

Why Some Research Is Locked

Prerequisites Aren't Arbitrary

When a technology requires specific prerequisites, that's not game balance—it's knowledge structure:

Example: Neural Chips require Logic Boards

  • You can't build thinking circuits without understanding processing circuits
  • The skills that make logic boards also make neural chips, just applied differently
  • The research IS the prerequisite—doing it changes you

Example: Dyson Collectors require Orbital Manufacturing

  • You can't build at stellar scale without space-based production
  • The logistics of stellar construction require orbital experience
  • Reaching a star requires being in space first

The Shard's Influence

The shard guides research direction through:

  • Highlighting promising paths
  • Creating intuition about "what comes next"
  • Nudging toward discoveries that further the journey

But the shard doesn't bypass prerequisites. You must still comprehend each stage. The guidance is direction, not shortcut.