docs: LandveX Intelligence Lab specification v1.0

- Internal development environment for Control Intelligence
- Core principle: 'Produces verified Control Intelligence, not AI models'
- Separate repo: landvex-intelligence-lab
- Navigation: Dashboard, Models, Datasets, Annotations, Training,
  Evaluation, Decision Cases, Replay, Validation, Deploy, Settings

- Key features:
  - Dashboard: AI status (models, datasets, jobs, cases)
  - Mission Replay: click through entire chain
  - Annotation: video + AI suggestion + manual correction
  - Decision Cases: first-class objects, all playable
  - Benchmark: compare YOLO, Grounding DINO, SAM, custom models
  - Replay: find regressions between model versions
  - Validation: field trials, scenario tests, decision tests
  - Deploy: 'Promote Model' not 'Deploy' (dev → validation → pilot → prod)
  - Experiments: link EP-1.0, DS-001, etc. to real data

- Target: New AI engineer understands in minutes:
  'This is where we build, test, and verify LandveX Control Intelligence
   before anything reaches production.'

Rationale: Single internal tool for all AI development. Centralizes
model training, annotation, validation, replay, decision chains,
regression tests, experiments, and model promotion.

docs/design/LANDVEX_INTELLIGENCE_LAB.md

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+# LANDVEX INTELLIGENCE LAB
+
+**Internal Development Environment for Control Intelligence**
+
+| | |
+|---|---|
+| **Version** | 1.0 |
+| **Status** | SPECIFICATION |
+| **Purpose** | Build, test, and verify LandveX Control Intelligence before production |
+
+---
+
+## Core Principle
+
+**LandveX Intelligence Lab does not produce AI models. It produces verified Control Intelligence.**
+
+This is an internal tool. Never a customer product.
+
+---
+
+## Repository
+
+```
+landvex-intelligence-lab
+```
+
+Separate from:
+- `quixzoom-app`
+- `landvex-web`
+- `aamos-core`
+
+---
+
+## Navigation
+
+```
+Dashboard
+├── Models
+├── Datasets
+├── Annotations
+├── Training
+├── Evaluation
+├── Decision Cases
+├── Replay
+├── Validation
+├── Deploy (Promote Model)
+└── Settings
+```
+
+---
+
+## Dashboard
+
+Shows AI status, not business data.
+
+```
+┌─────────────────────────────────────┐
+│ Models                              │
+│ Detection v12                       │
+│ Segmentation v5                     │
+│ OCR v3                              │
+│ Decision Model v1.0                 │
+├─────────────────────────────────────┤
+│ Datasets                            │
+│ Roads, Buildings, Signs             │
+│ Vegetation, Drainage                │
+├─────────────────────────────────────┤
+│ Training Jobs                       │
+│ Running: 2                          │
+│ Queued: 1                           │
+│ Failed: 0                           │
+│ Completed: 47                       │
+├─────────────────────────────────────┤
+│ Decision Cases                      │
+│ Validated: 23                       │
+│ Pending: 5                          │
+│ Rejected: 2                         │
+└─────────────────────────────────────┘
+```
+
+---
+
+## Mission Replay
+
+Click through the entire chain:
+
+```
+Video → Frame → Bounding boxes → Detected objects → Evidence → Finding → Decision → Business Impact
+```
+
+---
+
+## Annotation
+
+```
+┌─────────┬─────────────┬──────────────┐
+│ Video   │ AI Suggestion│ Manual       │
+│         │              │ Correction   │
+├─────────┼─────────────┼──────────────┤
+│         │ Object:      │ Correct?     │
+│         │ Road Crack   │ YES / NO     │
+│         │ Confidence:  │              │
+│         │ 82%          │ Severity:    │
+│         │              │ Low / Medium │
+│         │              │ / High       │
+└─────────┴─────────────┴──────────────┘
+```
+
+---
+
+## Decision Case
+
+First-class objects:
+
+```
+Case #4232
+├── Reality
+├── Observation
+├── Evidence
+├── Finding
+├── Decision
+├── Outcome
+└── Learning
+```
+
+All cases playable.
+
+---
+
+## Benchmark
+
+Compare models:
+
+| Model | Precision | Recall | F1 | Latency | Decision Accuracy |
+|-------|-----------|--------|----|---------|-------------------|
+| YOLO v8 | 0.89 | 0.87 | 0.88 | 45ms | — |
+| Grounding DINO | 0.91 | 0.85 | 0.88 | 120ms | — |
+| SAM | 0.88 | 0.90 | 0.89 | 200ms | — |
+| Custom | 0.92 | 0.91 | 0.915 | 60ms | 0.87 |
+
+---
+
+## Replay
+
+Find regressions:
+
+```
+Mission 213
+├── Play
+├── Show AI
+├── Show Human Annotation
+├── Differences
+├── New Model
+└── Old Model
+```
+
+---
+
+## Validation
+
+```
+Field Trials
+Scenario Tests
+Decision Tests
+Evidence Tests
+Golden Failures
+Regression Tests
+```
+
+---
+
+## Deploy (Promote Model)
+
+```
+Development → Validation → Pilot → Production
+```
+
+Not "Deploy". "Promote Model".
+
+---
+
+## Experiments
+
+```
+Experiments
+├── EP-1.0
+├── DS-001
+├── DS-002
+├── DS-003
+├── Field Trials
+└── Metrics
+```
+
+Link experiment protocol to real development and validation data.
+
+---
+
+## What This Tool Collects
+
+- Model training
+- Annotation
+- Datasets
+- Replay
+- Decision chains
+- Validation
+- Regression tests
+- Experiments
+- Model promotion
+
+---
+
+## New Developer Experience
+
+A new AI engineer should open the repo and within minutes understand:
+
+**"This is the tool where we build, test, and verify LandveX Control Intelligence before anything reaches production."**
+
+---
+
+## Relationship to Principles
+
+- All development in Git
+- All experiments reproducible
+- All models traceable from training to validation to production
+- Version control and traceability
+
+---
+
+## ändringshistoria
+
+| Version | Datum | Beskrivning |
+|---------|-------|-------------|
+| 1.0 | 2026-07-02 | Initial specification for LandveX Intelligence Lab |
+
+---
+
+## STATUS
+
+**SPECIFICATION — Awaiting development decision**