{
  "name": "Adaptive Capture Classification",
  "description": "Adds confidence gating and a per-type learning loop to OB1's capture flow. The classifier reports a confidence score; a threshold gates whether to auto-classify or ask the user; every user response nudges the threshold up or down. Includes optional A/B model comparison and spell correction learning tables.",
  "category": "recipes",
  "author": {
    "name": "Matthew Hardy",
    "github": "mjh756"
  },
  "version": "1.0.0",
  "requires": {
    "open_brain": true,
    "services": ["Any OpenAI-compatible LLM gateway (OpenRouter, Ollama, etc.)"],
    "tools": ["Supabase CLI or Supabase Studio"]
  },
  "tags": [
    "classification",
    "confidence",
    "learning",
    "capture",
    "thresholds",
    "a/b-testing",
    "spell-correction",
    "feedback-loop"
  ],
  "difficulty": "intermediate",
  "estimated_time": "60–90 minutes",
  "created": "2026-03-31",
  "updated": "2026-03-31"
}