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Bernt f6119e7bb6 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.

2026-07-02 12:24:18 +00:00

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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

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

5.1 KiB Raw Blame History