Volumetric Generation Recipes

{
  "title": "Volumetric Generation Recipes",
  "version": "1.0.0",
  "recipe_count": 8,
  "theoretical_space": {
    "context_axes_product": "12 × 10 × 9 × 13 × 9 × 4 × 5 × 5 × 7 × 5 × 8 × 7",
    "laka_dynamic_states": 56,
    "laka_diagnostic_prompts": 216,
    "base_rules": 228,
    "note": "This is an addressable decision space, not a recommendation to generate every combination."
  },
  "recipes": [
    {
      "id": "GEN-001",
      "name": "Four-state LAKA sweep",
      "input": "one diagnosed writing object",
      "dimensions": [
        "magnitude",
        "rate",
        "direction",
        "scope",
        "depth",
        "duration",
        "frequency",
        "acceleration",
        "variability",
        "detectability",
        "reversibility",
        "propagation",
        "amplification",
        "accumulation"
      ],
      "states_per_dimension": 4,
      "primary_variants": 56,
      "logic": {
        "if": {
          "path": "diagnosis.target",
          "operator": "exists"
        },
        "then": [
          "generate one controlled candidate per dimension-state",
          "reject candidates that do not change the named axis",
          "score against outcome and hard gates"
        ],
        "else": "request target"
      }
    },
    {
      "id": "GEN-002",
      "name": "6×6×6 question sweep",
      "input": "one writing problem",
      "dimensions": {
        "interrogatives": [
          "who",
          "what",
          "when",
          "where",
          "why",
          "how"
        ],
        "relations": [
          "direction",
          "scope",
          "depth",
          "duration",
          "frequency",
          "reversibility"
        ],
        "scale": [
          0,
          1,
          2,
          3,
          4,
          5
        ]
      },
      "primary_prompts": 216,
      "logic": {
        "if": {
          "path": "problem",
          "operator": "exists"
        },
        "then": "generate diagnostic questions before edits",
        "else": "stop"
      }
    },
    {
      "id": "GEN-003",
      "name": "Sentence alternatives",
      "input": "one proposition plus context",
      "dimensions": [
        "actor_visibility",
        "voice",
        "clause_relation",
        "information_order",
        "sentence_force",
        "specificity",
        "qualification",
        "rhythm"
      ],
      "logic": {
        "if": {
          "all": [
            {
              "path": "proposition",
              "operator": "exists",
              "value": true
            },
            {
              "path": "context.audience",
              "operator": "exists",
              "value": true
            }
          ]
        },
        "then": [
          "generate valid alternatives",
          "preserve truth conditions",
          "rank by reader outcome"
        ],
        "else": "request proposition or audience"
      }
    },
    {
      "id": "GEN-004",
      "name": "Paragraph alternatives",
      "input": "one controlling move",
      "dimensions": [
        "point_position",
        "evidence_type",
        "example_presence",
        "transition_relation",
        "paragraph_length",
        "tone",
        "reader_knowledge_gap"
      ],
      "logic": {
        "if": {
          "path": "paragraph.controlling_move",
          "operator": "exists"
        },
        "then": [
          "generate structure maps",
          "draft only non-dominated maps"
        ],
        "else": "diagnose controlling move"
      }
    },
    {
      "id": "GEN-005",
      "name": "Headline alternatives",
      "input": "audience, awareness, offer or content promise, proof",
      "dimensions": [
        "directness",
        "benefit",
        "curiosity",
        "specificity",
        "mechanism",
        "proof_signal",
        "time_horizon",
        "risk_frame",
        "question_or_statement"
      ],
      "logic": {
        "if": {
          "all": [
            {
              "path": "audience.awareness",
              "operator": "exists",
              "value": true
            },
            {
              "path": "promise",
              "operator": "exists",
              "value": true
            }
          ]
        },
        "then": [
          "generate",
          "claim-check",
          "message-match-check",
          "rank"
        ],
        "else": "research_first"
      }
    },
    {
      "id": "GEN-006",
      "name": "Document architecture alternatives",
      "input": "reader questions and expected outcome",
      "dimensions": [
        "organizing_principle",
        "depth_layers",
        "section_count",
        "summary_position",
        "proof_distribution",
        "action_position",
        "navigation"
      ],
      "logic": {
        "if": {
          "path": "reader_questions",
          "operator": "count_gte",
          "value": 1
        },
        "then": [
          "generate outlines",
          "simulate scanning path",
          "select lowest-friction complete route"
        ],
        "else": "interview_or_research"
      }
    },
    {
      "id": "GEN-007",
      "name": "Minimal-pair testing",
      "input": "baseline plus one proposed rule change",
      "dimensions": [
        "comprehension",
        "task_success",
        "trust",
        "conversion",
        "error_rate"
      ],
      "logic": {
        "if": {
          "path": "causal_attribution_needed",
          "operator": "eq",
          "value": true
        },
        "then": "change one primary variable",
        "else": "multivariate exploration allowed with qualified inference"
      }
    },
    {
      "id": "GEN-008",
      "name": "Exception stress test",
      "input": "a rule-compliant draft",
      "dimensions": [
        "dialogue",
        "poetry",
        "brand_voice",
        "legal_precision",
        "safety",
        "translation",
        "screen_reader"
      ],
      "logic": {
        "if": {
          "path": "draft.rule_compliant",
          "operator": "eq",
          "value": true
        },
        "then": [
          "test boundary contexts",
          "record justified exceptions",
          "never waive truth or safety"
        ],
        "else": "fix hard constraints first"
      }
    }
  ]
}