docs: LandveX Intelligence Lab v1.2 — MVP + Phases + Data Quality + Decision Analytics

- MVP Milestone: 'First Verified Decision'
  - Developer films with quiXzoom, imports to Lab, corrects AI,
    creates Decision Case, follows chain with full traceability
  - When this works = first complete verifiable Control Intelligence pipeline

- Three development phases:
  Phase 1 (Essential): Ingestion, Dataset Explorer, Annotation, Decision Case Viewer
  Phase 2 (Scale): Replay, Benchmark, Evaluation
  Phase 3 (Advanced): GPU Jobs, Hyperparameter Runs, Model Promotion, Canary

- Product Architecture: quiXzoom → Observations → Intelligence Lab →
  Improved Models → LandveX → Better Decisions → Feedback → Intelligence Lab
  - Two products: quiXzoom (observations), LandveX (decisions)
  - Intelligence Lab = the factory that improves both

- New areas:
  - Data Quality: Healthy/Blurred/Duplicate/Wrong GPS/Night/Rain/Occluded
    + Coverage (Roads, Buildings, Signs, Drainage, Vegetation)
  - Decision Analytics: Acceptance Rate, Ignore Rate, Accuracy,
    Insufficient Evidence, Data Collection Value
    - Business value metrics, not traditional AI metrics

Rationale: Build MVP first, prove first real workflow, then scale.
Decision Cases are the heart. Data Quality explains model performance.
Decision Analytics measure business value.

docs/design/LANDVEX_INTELLIGENCE_LAB.md

@@ -26,6 +26,31 @@ This is an internal tool. Never a customer product.
 
 **Every change must be traceable to a specific experiment, model version, dataset, and decision.**
 
+## Product Architecture
+
+```
+quiXzoom
+    ↓
+Observations
+    ↓
+LandveX Intelligence Lab
+    ↓
+Improved Models
+    ↓
+LandveX
+    ↓
+Better Decisions
+    ↓
+Feedback
+    ↓
+Intelligence Lab
+```
+
+**Two products:**
+- **quiXzoom** — produces observations
+- **LandveX** — produces decisions
+- **Intelligence Lab** — the factory that improves both
+
 ---
 
 ## Repository
@@ -353,11 +378,95 @@ A new AI engineer should open the repo and within minutes understand:
 
 ---
 
+## MVP Milestone: "First Verified Decision"
+
+**Definition:**
+A developer can:
+1. Film a real object with quiXzoom
+2. Import material to Intelligence Lab
+3. Review and correct AI interpretation
+4. Create a Decision Case
+5. Follow the entire chain from observation to decision with full traceability
+
+**When this works, you have the first complete, verifiable Control Intelligence pipeline.**
+
+## Development Phases
+
+### Phase 1 — Essential (for pilot missions)
+
+| Feature | Purpose |
+|---------|---------|
+| **Ingestion** | Upload images/video, show metadata (GPS, time, device), store raw data immutably |
+| **Dataset Explorer** | Browse missions, filter, search, open a mission |
+| **Annotation** | AI suggestions, manual correction, version history |
+| **Decision Case Viewer** | Observation → Evidence → Finding → Decision → Business Impact → Learning |
+
+**This is the heart.**
+
+### Phase 2 — Scale (when running many missions)
+
+| Feature | Purpose |
+|---------|---------|
+| **Replay** | Compare model versions on same mission |
+| **Benchmark** | Model comparisons |
+| **Evaluation** | Regression tests |
+
+### Phase 3 — Advanced (when having multiple models)
+
+| Feature | Purpose |
+|---------|---------|
+| **GPU Jobs** | Training queue |
+| **Hyperparameter Runs** | Automated experiments |
+| **Model Promotion** | Development → Validation → Pilot → Production |
+| **Canary Releases** | Gradual rollout |
+
+## New Areas
+
+### Data Quality
+
+Before training anything:
+
+```
+Images
+├── Healthy
+├── Blurred
+├── Duplicate
+├── Wrong GPS
+├── Night
+├── Rain
+└── Occluded
+```
+
+Coverage:
+```
+Roads, Buildings, Signs, Drainage, Vegetation
+```
+
+Quickly shows why a model performs well or poorly.
+
+### Decision Analytics
+
+Not AI metrics. Decision metrics.
+
+| Metric | Question |
+|--------|----------|
+| Acceptance Rate | How many recommendations were accepted? |
+| Ignore Rate | How many were ignored? |
+| Accuracy | How many proved correct? |
+| Insufficient Evidence | How many lacked enough evidence? |
+| Data Collection Value | How often did "Collect more data" lead to a better decision? |
+
+Closer to LandveX business value than traditional AI metrics.
+
+---
+
 ## ändringshistoria
 
 | Version | Datum | Beskrivning |
 |---------|-------|-------------|
 | 1.0 | 2026-07-02 | Initial specification for LandveX Intelligence Lab |
+| 1.1 | 2026-07-02 | Added architecture, pipelines, immutability |
+| 1.2 | 2026-07-02 | Added MVP milestone, development phases, Data Quality, Decision Analytics |
 
 ---