slug: bria
provider: Bria
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Media, Entertainment & Telecom Content
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 2
edges:
- tag: Model
  spec_file: bria-model-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /tailored-gen/models/{model_id}/start_training "Start Training", "List Checkpoints",
    "Download Tailored Model"
  reason: Full fine-tuned model lifecycle — create, train, stop, checkpoint, download. This is AI/ML model
    lifecycle management (MLOps), unambiguously.
- tag: Dataset
  spec_file: bria-dataset-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /tailored-gen/datasets "Create Dataset", "Upload Image Files", "Regenerate All Captions"
    within "train tailored models"
  reason: Training-dataset curation for fine-tuning generative models — squarely AI/ML model lifecycle
    (MLOps) tooling rather than any media or marketing business process.