ADR-012: Five Engines Platform Architecture + Economic Engine

- LANDVEX_PLATFORM_ARCHITECTURE.md: Five Engines (Reality, Knowledge,
  Decision, Mission, Economic)
- Credit: first-class economic object with types (mission, validation,
  training, priority, emergency)
- IntelligenceLedger: tracks value creation separate from financial accounting
- KnowledgeGap: missing information that drives missions
- Hotspot: composite score for mission generation
- Contradiction: conflicting information as opportunity

Key principle: Every component answers 'What value is created here?
Who pays for it?'

Next: PR-005A — Minimal Mission Import UI for MVP-0

docs/design/LANDVEX_PLATFORM_ARCHITECTURE.md

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+# LandveX Platform Architecture
+
+## Five Engines
+
+LandveX is not an image analysis platform. It is an **economic control system for control intelligence**.
+
+Five engines work together:
+
+```
+Reality Engine
+  ↓
+Knowledge Engine
+  ↓
+Decision Engine
+  ↓
+Mission Engine
+  ↓
+Economic Engine
+```
+
+User experiences sit on top:
+- **quiXzoom** — data collection (Zoomers)
+- **LandveX Dashboard** — decision makers
+- **Intelligence Lab** — development and validation
+
+---
+
+## 1. Reality Engine
+
+**Purpose:** Capture reality from the field.
+
+**Flow:**
+```
+Phone → Video/Images → Upload → Immutable Archive
+```
+
+**Key objects:**
+- `ArchiveArtifact` — original file, never changed
+- `FieldSession` — organizes field work
+- `Mission` — single data collection task
+
+**Value question:** What reality was captured?
+
+---
+
+## 2. Knowledge Engine
+
+**Purpose:** Convert raw data to structured knowledge.
+
+**Flow:**
+```
+Archive Artifact → Knowledge Extraction → Knowledge Graph
+```
+
+**Key objects:**
+- `KnowledgeArtifact` — extracted knowledge (observations, segmentations, embeddings)
+- `Observation` — what was seen
+- `Evidence` — supporting data
+- `Finding` — interpreted result
+
+**Value question:** What does it mean in our domain?
+
+---
+
+## 3. Decision Engine
+
+**Purpose:** Produce verified decisions from knowledge.
+
+**Flow:**
+```
+Finding → Decision → Review → Approved Decision Case
+```
+
+**Key objects:**
+- `DecisionCase` — complete decision chain
+- `Review` — human validation
+- `Decision` — recommended action
+
+**Value question:** What should we do?
+
+---
+
+## 4. Mission Engine
+
+**Purpose:** Generate and manage data collection missions.
+
+**Flow:**
+```
+Knowledge Gap → Coverage Analysis → Mission Proposal → Budget Check → Mission Created
+```
+
+**Key objects:**
+- `KnowledgeGap` — missing information
+- `Hotspot` — high-value area
+- `Contradiction` — conflicting information
+- `Mission` — data collection task
+
+**Value question:** Where should we collect data?
+
+---
+
+## 5. Economic Engine
+
+**Purpose:** Manage budgets, credits, and ROI.
+
+**Flow:**
+```
+Budget → Credit Allocation → Mission Funding → Verified Delivery → Settlement → ROI
+```
+
+**Key objects:**
+- `Credit` — first-class object (Mission, Validation, Training, Priority, Emergency)
+- `IntelligenceLedger` — tracks value creation
+- `Settlement` — payment to Zoomers
+
+**Value question:** What did this decision cost?
+
+---
+
+## Cross-Cutting Objects
+
+### Contradiction Engine
+```
+Source A vs Source B → Confidence → Potential Value → Suggested Mission
+```
+
+Example:
+- Municipality register: "Road is newly paved"
+- Our observations: "Severe cracking"
+- System: "Verify this contradiction"
+
+### Hotspot Engine
+```
+Observation Density + Contradictions + Customer Requests + Risk Trend + Business Value
+  ↓
+Hotspot Score → Mission Generator
+```
+
+### Knowledge Gap
+```
+Area + Coverage + Confidence + Priority + Estimated Value + Budget
+  ↓
+Recommended Mission
+```
+
+---
+
+## Intelligence Ledger
+
+Separate from financial accounting:
+
+| Field | Description |
+|-------|-------------|
+| Mission | Which mission |
+| Budget | Credits allocated |
+| Credits Reserved | Committed |
+| Credits Consumed | Spent |
+| Knowledge Produced | Observations created |
+| Decision Produced | Verified decisions |
+| Business Impact | Measured value |
+| ROI | Return on investment |
+
+**Questions answered:**
+- How many kronor did this verified Decision Case cost?
+- Which municipality gives highest knowledge return per invested krona?
+
+---
+
+## Architecture Principles
+
+1. **Every component answers:** What value is created here? Who pays for it?
+2. **Ontology before model** — taxonomy answers "what does it mean?"
+3. **AI models trained on curated datasets**, not whole archive
+4. **Knowledge gaps drive missions**, not just customer orders
+5. **Contradictions are opportunities**, not errors
+6. **Economic engine as important as AI models**
+
+---
+
+## Related Documents
+
+- ADR-011: Four-Layer Data Architecture
+- DECISION_MODEL_v1.0.md
+- EPIC-001-First-Verified-Decision.md

docs/design/adr/ADR-012-Economic-Engine.md

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+# ADR-012: Economic Engine
+
+## Status
+Accepted
+
+## Context
+LandveX is not just an image analysis platform. It is an economic control system for control intelligence. Every component must answer: What value is created here? Who pays for it?
+
+## Decision
+Model Credits as first-class objects with types:
+
+- **Mission Credits** — fund data collection
+- **Validation Credits** — pay for human review
+- **Training Credits** — fund AI model training
+- **Priority Credits** — expedite processing
+- **Emergency Credits** — handle urgent cases
+
+## Intelligence Ledger
+
+Separate from financial accounting:
+
+| Field | Description |
+|-------|-------------|
+| Mission | Which mission |
+| Budget | Credits allocated |
+| Credits Reserved | Committed |
+| Credits Consumed | Spent |
+| Knowledge Produced | Observations created |
+| Decision Produced | Verified decisions |
+| Business Impact | Measured value |
+| ROI | Return on investment |
+
+## Key Questions
+
+- How many kronor did this verified Decision Case cost?
+- Which municipality gives highest knowledge return per invested krona?
+
+## Related
+
+- ADR-011: Four-Layer Data Architecture
+- LANDVEX_PLATFORM_ARCHITECTURE.md