slug: mostly-ai
provider: MOSTLY AI
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
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: Generators
  spec_file: mostly-ai-generators-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /generators/{id}/training/start  Start training a generator; GET /generators/{id}/training  Get
    a generator's training status
  reason: Generators are TabularARGN models; the operations create, configure, train, cancel training,
    clone and export models. This is squarely ML model lifecycle management (MLOps), i.e. Artificial Intelligence
    Management.
- tag: Synthetic Datasets
  spec_file: mostly-ai-synthetic-datasets-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /synthetic-datasets/{id}/generation/start  Start a synthetic dataset generation run
  reason: These operations run inference/generation jobs against trained TabularARGN generators to produce
    synthetic data. That is operation of the AI model lifecycle on a data platform; mapped to Artificial
    Intelligence Management, with some ambiguity versus plain data asset management.