- 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.
Bernt