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LAKA Transformation State Rules

LAKA Transformation State Rules

20-laka-transformation-rules.json · version 1.0.0

The file

Served verbatim at /v1/files/laka-transformation-rules.

{
  "title": "LAKA Transformation State Rules",
  "version": "1.0.0",
  "rule_count": 56,
  "rules": [
    {
      "id": "MAGNITUDE-0",
      "axis": "magnitude",
      "state": "none",
      "code": "M0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.magnitude.state",
              "operator": "eq",
              "value": "none"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "magnitude",
            "state": "none"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.magnitude"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How large is the difference or intervention?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "MAGNITUDE-1",
      "axis": "magnitude",
      "state": "minor",
      "code": "M1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.magnitude.state",
              "operator": "eq",
              "value": "minor"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "magnitude",
            "state": "minor"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.magnitude"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How large is the difference or intervention?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "MAGNITUDE-2",
      "axis": "magnitude",
      "state": "substantial",
      "code": "M2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.magnitude.state",
              "operator": "eq",
              "value": "substantial"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "magnitude",
            "state": "substantial"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.magnitude"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How large is the difference or intervention?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "MAGNITUDE-3",
      "axis": "magnitude",
      "state": "dominant",
      "code": "M3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.magnitude.state",
              "operator": "eq",
              "value": "dominant"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "magnitude",
            "state": "dominant"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.magnitude"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How large is the difference or intervention?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "RATE-0",
      "axis": "rate",
      "state": "static",
      "code": "R0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.rate.state",
              "operator": "eq",
              "value": "static"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "rate",
            "state": "static"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.rate"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How quickly is the text or reader state changing?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "RATE-1",
      "axis": "rate",
      "state": "gradual",
      "code": "R1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.rate.state",
              "operator": "eq",
              "value": "gradual"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "rate",
            "state": "gradual"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.rate"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How quickly is the text or reader state changing?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "RATE-2",
      "axis": "rate",
      "state": "steady",
      "code": "R2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.rate.state",
              "operator": "eq",
              "value": "steady"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "rate",
            "state": "steady"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.rate"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How quickly is the text or reader state changing?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "RATE-3",
      "axis": "rate",
      "state": "rapid",
      "code": "R3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.rate.state",
              "operator": "eq",
              "value": "rapid"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "rate",
            "state": "rapid"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.rate"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How quickly is the text or reader state changing?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DIRECTION-0",
      "axis": "direction",
      "state": "neutral",
      "code": "D0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.direction.state",
              "operator": "eq",
              "value": "neutral"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "direction",
            "state": "neutral"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.direction"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "Where is meaning or performance moving?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DIRECTION-1",
      "axis": "direction",
      "state": "converging",
      "code": "D1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.direction.state",
              "operator": "eq",
              "value": "converging"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "direction",
            "state": "converging"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.direction"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "Where is meaning or performance moving?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DIRECTION-2",
      "axis": "direction",
      "state": "diverging",
      "code": "D2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.direction.state",
              "operator": "eq",
              "value": "diverging"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "direction",
            "state": "diverging"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.direction"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "Where is meaning or performance moving?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DIRECTION-3",
      "axis": "direction",
      "state": "oscillating_or_mixed",
      "code": "D3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.direction.state",
              "operator": "eq",
              "value": "oscillating_or_mixed"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "direction",
            "state": "oscillating_or_mixed"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.direction"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "Where is meaning or performance moving?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "SCOPE-0",
      "axis": "scope",
      "state": "token",
      "code": "S0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.scope.state",
              "operator": "eq",
              "value": "token"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "scope",
            "state": "token"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.scope"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How much of the content is affected?",
        "preferred_interventions": [
          "replace_word",
          "fix_inflection",
          "add_or_remove_mark"
        ]
      }
    },
    {
      "id": "SCOPE-1",
      "axis": "scope",
      "state": "sentence",
      "code": "S1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.scope.state",
              "operator": "eq",
              "value": "sentence"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "scope",
            "state": "sentence"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.scope"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How much of the content is affected?",
        "preferred_interventions": [
          "reorder_constituent",
          "split_or_merge_clause",
          "clarify_actor_or_scope"
        ]
      }
    },
    {
      "id": "SCOPE-2",
      "axis": "scope",
      "state": "passage",
      "code": "S2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.scope.state",
              "operator": "eq",
              "value": "passage"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "scope",
            "state": "passage"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.scope"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How much of the content is affected?",
        "preferred_interventions": [
          "split_paragraph",
          "move_evidence",
          "add_transition",
          "normalize_term"
        ]
      }
    },
    {
      "id": "SCOPE-3",
      "axis": "scope",
      "state": "document_or_system",
      "code": "S3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.scope.state",
              "operator": "eq",
              "value": "document_or_system"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "scope",
            "state": "document_or_system"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.scope"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How much of the content is affected?",
        "preferred_interventions": [
          "restructure_sections",
          "change_strategy",
          "centralize_source",
          "create_governance_rule"
        ]
      }
    },
    {
      "id": "DEPTH-0",
      "axis": "depth",
      "state": "surface",
      "code": "DP0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.depth.state",
              "operator": "eq",
              "value": "surface"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "depth",
            "state": "surface"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.depth"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "At what layer does the issue exist?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DEPTH-1",
      "axis": "depth",
      "state": "syntactic",
      "code": "DP1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.depth.state",
              "operator": "eq",
              "value": "syntactic"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "depth",
            "state": "syntactic"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.depth"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "At what layer does the issue exist?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DEPTH-2",
      "axis": "depth",
      "state": "semantic",
      "code": "DP2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.depth.state",
              "operator": "eq",
              "value": "semantic"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "depth",
            "state": "semantic"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.depth"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "At what layer does the issue exist?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DEPTH-3",
      "axis": "depth",
      "state": "world_model_or_strategy",
      "code": "DP3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.depth.state",
              "operator": "eq",
              "value": "world_model_or_strategy"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "depth",
            "state": "world_model_or_strategy"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.depth"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "At what layer does the issue exist?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DURATION-0",
      "axis": "duration",
      "state": "momentary",
      "code": "DU0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.duration.state",
              "operator": "eq",
              "value": "momentary"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "duration",
            "state": "momentary"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.duration"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How long does the effect persist?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DURATION-1",
      "axis": "duration",
      "state": "temporary",
      "code": "DU1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.duration.state",
              "operator": "eq",
              "value": "temporary"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "duration",
            "state": "temporary"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.duration"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How long does the effect persist?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DURATION-2",
      "axis": "duration",
      "state": "sustained",
      "code": "DU2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.duration.state",
              "operator": "eq",
              "value": "sustained"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "duration",
            "state": "sustained"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.duration"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How long does the effect persist?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DURATION-3",
      "axis": "duration",
      "state": "persistent",
      "code": "DU3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.duration.state",
              "operator": "eq",
              "value": "persistent"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "duration",
            "state": "persistent"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.duration"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How long does the effect persist?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "FREQUENCY-0",
      "axis": "frequency",
      "state": "never",
      "code": "F0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.frequency.state",
              "operator": "eq",
              "value": "never"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "frequency",
            "state": "never"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.frequency"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How often does the pattern occur?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "FREQUENCY-1",
      "axis": "frequency",
      "state": "rare",
      "code": "F1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.frequency.state",
              "operator": "eq",
              "value": "rare"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "frequency",
            "state": "rare"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.frequency"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How often does the pattern occur?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "FREQUENCY-2",
      "axis": "frequency",
      "state": "intermittent",
      "code": "F2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.frequency.state",
              "operator": "eq",
              "value": "intermittent"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "frequency",
            "state": "intermittent"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.frequency"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How often does the pattern occur?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "FREQUENCY-3",
      "axis": "frequency",
      "state": "continuous_or_systematic",
      "code": "F3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.frequency.state",
              "operator": "eq",
              "value": "continuous_or_systematic"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "frequency",
            "state": "continuous_or_systematic"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.frequency"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How often does the pattern occur?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "ACCELERATION-0",
      "axis": "acceleration",
      "state": "none",
      "code": "A0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.acceleration.state",
              "operator": "eq",
              "value": "none"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "acceleration",
            "state": "none"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.acceleration"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How is the rate itself changing?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "ACCELERATION-1",
      "axis": "acceleration",
      "state": "decelerating",
      "code": "A1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.acceleration.state",
              "operator": "eq",
              "value": "decelerating"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "acceleration",
            "state": "decelerating"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.acceleration"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How is the rate itself changing?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "ACCELERATION-2",
      "axis": "acceleration",
      "state": "linear",
      "code": "A2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.acceleration.state",
              "operator": "eq",
              "value": "linear"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "acceleration",
            "state": "linear"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.acceleration"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How is the rate itself changing?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "ACCELERATION-3",
      "axis": "acceleration",
      "state": "accelerating",
      "code": "A3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.acceleration.state",
              "operator": "eq",
              "value": "accelerating"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "acceleration",
            "state": "accelerating"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.acceleration"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How is the rate itself changing?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "VARIABILITY-0",
      "axis": "variability",
      "state": "fixed",
      "code": "V0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.variability.state",
              "operator": "eq",
              "value": "fixed"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "variability",
            "state": "fixed"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.variability"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How stable is the pattern across samples?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "VARIABILITY-1",
      "axis": "variability",
      "state": "low",
      "code": "V1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.variability.state",
              "operator": "eq",
              "value": "low"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "variability",
            "state": "low"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.variability"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How stable is the pattern across samples?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "VARIABILITY-2",
      "axis": "variability",
      "state": "mixed",
      "code": "V2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.variability.state",
              "operator": "eq",
              "value": "mixed"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "variability",
            "state": "mixed"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.variability"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How stable is the pattern across samples?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "VARIABILITY-3",
      "axis": "variability",
      "state": "high",
      "code": "V3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.variability.state",
              "operator": "eq",
              "value": "high"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "variability",
            "state": "high"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.variability"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How stable is the pattern across samples?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DETECTABILITY-0",
      "axis": "detectability",
      "state": "obvious",
      "code": "DE0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.detectability.state",
              "operator": "eq",
              "value": "obvious"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "detectability",
            "state": "obvious"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.detectability"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How easy is the issue to notice?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DETECTABILITY-1",
      "axis": "detectability",
      "state": "visible_on_review",
      "code": "DE1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.detectability.state",
              "operator": "eq",
              "value": "visible_on_review"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "detectability",
            "state": "visible_on_review"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.detectability"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How easy is the issue to notice?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DETECTABILITY-2",
      "axis": "detectability",
      "state": "latent",
      "code": "DE2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.detectability.state",
              "operator": "eq",
              "value": "latent"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "detectability",
            "state": "latent"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.detectability"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How easy is the issue to notice?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "DETECTABILITY-3",
      "axis": "detectability",
      "state": "hidden_without_testing",
      "code": "DE3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.detectability.state",
              "operator": "eq",
              "value": "hidden_without_testing"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "detectability",
            "state": "hidden_without_testing"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.detectability"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How easy is the issue to notice?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "REVERSIBILITY-0",
      "axis": "reversibility",
      "state": "trivial",
      "code": "RV0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.reversibility.state",
              "operator": "eq",
              "value": "trivial"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "reversibility",
            "state": "trivial"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.reversibility"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How easily can the change be undone?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "REVERSIBILITY-1",
      "axis": "reversibility",
      "state": "easy",
      "code": "RV1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.reversibility.state",
              "operator": "eq",
              "value": "easy"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "reversibility",
            "state": "easy"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.reversibility"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How easily can the change be undone?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "REVERSIBILITY-2",
      "axis": "reversibility",
      "state": "costly",
      "code": "RV2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.reversibility.state",
              "operator": "eq",
              "value": "costly"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "reversibility",
            "state": "costly"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.reversibility"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How easily can the change be undone?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "REVERSIBILITY-3",
      "axis": "reversibility",
      "state": "effectively_irreversible",
      "code": "RV3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.reversibility.state",
              "operator": "eq",
              "value": "effectively_irreversible"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "reversibility",
            "state": "effectively_irreversible"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.reversibility"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How easily can the change be undone?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "PROPAGATION-0",
      "axis": "propagation",
      "state": "isolated",
      "code": "P0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.propagation.state",
              "operator": "eq",
              "value": "isolated"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "propagation",
            "state": "isolated"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.propagation"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How far does the effect travel?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "PROPAGATION-1",
      "axis": "propagation",
      "state": "local",
      "code": "P1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.propagation.state",
              "operator": "eq",
              "value": "local"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "propagation",
            "state": "local"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.propagation"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How far does the effect travel?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "PROPAGATION-2",
      "axis": "propagation",
      "state": "cascading",
      "code": "P2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.propagation.state",
              "operator": "eq",
              "value": "cascading"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "propagation",
            "state": "cascading"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.propagation"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How far does the effect travel?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "PROPAGATION-3",
      "axis": "propagation",
      "state": "system_wide",
      "code": "P3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.propagation.state",
              "operator": "eq",
              "value": "system_wide"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "propagation",
            "state": "system_wide"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.propagation"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How far does the effect travel?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "AMPLIFICATION-0",
      "axis": "amplification",
      "state": "damped",
      "code": "AM0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.amplification.state",
              "operator": "eq",
              "value": "damped"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "amplification",
            "state": "damped"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.amplification"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "What happens as the effect is repeated or transmitted?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "AMPLIFICATION-1",
      "axis": "amplification",
      "state": "neutral",
      "code": "AM1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.amplification.state",
              "operator": "eq",
              "value": "neutral"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "amplification",
            "state": "neutral"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.amplification"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "What happens as the effect is repeated or transmitted?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "AMPLIFICATION-2",
      "axis": "amplification",
      "state": "reinforced",
      "code": "AM2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.amplification.state",
              "operator": "eq",
              "value": "reinforced"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "amplification",
            "state": "reinforced"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.amplification"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "What happens as the effect is repeated or transmitted?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "AMPLIFICATION-3",
      "axis": "amplification",
      "state": "runaway",
      "code": "AM3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.amplification.state",
              "operator": "eq",
              "value": "runaway"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "amplification",
            "state": "runaway"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.amplification"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "What happens as the effect is repeated or transmitted?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "ACCUMULATION-0",
      "axis": "accumulation",
      "state": "no_buildup",
      "code": "AC0",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.accumulation.state",
              "operator": "eq",
              "value": "no_buildup"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "accumulation",
            "state": "no_buildup"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.accumulation"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How does the effect build over time?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "ACCUMULATION-1",
      "axis": "accumulation",
      "state": "episodic",
      "code": "AC1",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.accumulation.state",
              "operator": "eq",
              "value": "episodic"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "accumulation",
            "state": "episodic"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.accumulation"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How does the effect build over time?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "ACCUMULATION-2",
      "axis": "accumulation",
      "state": "compounding",
      "code": "AC2",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.accumulation.state",
              "operator": "eq",
              "value": "compounding"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "accumulation",
            "state": "compounding"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.accumulation"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How does the effect build over time?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    },
    {
      "id": "ACCUMULATION-3",
      "axis": "accumulation",
      "state": "saturated_or_entrenched",
      "code": "AC3",
      "interrogative_prompts": [
        "who is affected?",
        "what changes?",
        "when does it occur?",
        "where is it visible?",
        "why does it matter?",
        "how can it be tested?"
      ],
      "evaluation": {
        "if": {
          "all": [
            {
              "path": "laka.accumulation.state",
              "operator": "eq",
              "value": "saturated_or_entrenched"
            },
            {
              "path": "diagnosis.target_unit",
              "operator": "exists"
            }
          ]
        },
        "then": [
          {
            "action": "generate",
            "target": "candidate_interventions",
            "axis": "accumulation",
            "state": "saturated_or_entrenched"
          },
          {
            "action": "rank",
            "target": "candidate_interventions",
            "by": [
              "outcome_gain",
              "scope",
              "depth",
              "magnitude",
              "reversibility"
            ]
          }
        ],
        "else": [
          {
            "action": "measure",
            "target": "laka.accumulation"
          }
        ]
      },
      "writing_application": {
        "diagnostic_question": "How does the effect build over time?",
        "preferred_interventions": [
          "observe",
          "compare",
          "test",
          "apply_smallest_sufficient_change"
        ]
      }
    }
  ],
  "cross_axis_rules": [
    {
      "id": "LTX-001",
      "if": {
        "all": [
          {
            "path": "laka.propagation.state",
            "operator": "in",
            "value": [
              "cascading",
              "system_wide"
            ]
          },
          {
            "path": "laka.reversibility.state",
            "operator": "in",
            "value": [
              "costly",
              "effectively_irreversible"
            ]
          }
        ]
      },
      "then": [
        {
          "action": "require",
          "target": "change_plan",
          "include": [
            "dependency_map",
            "backup",
            "review",
            "rollback_or_mitigation"
          ]
        }
      ],
      "else": [
        {
          "action": "retain",
          "target": "current_text",
          "reason": "No triggering condition is present."
        }
      ]
    },
    {
      "id": "LTX-002",
      "if": {
        "all": [
          {
            "path": "laka.detectability.state",
            "operator": "in",
            "value": [
              "latent",
              "hidden_without_testing"
            ]
          },
          {
            "path": "laka.frequency.state",
            "operator": "in",
            "value": [
              "intermittent",
              "continuous_or_systematic"
            ]
          }
        ]
      },
      "then": [
        {
          "action": "design",
          "target": "test",
          "include": [
            "multiple_samples",
            "representative_readers",
            "task_observation"
          ]
        }
      ],
      "else": [
        {
          "action": "retain",
          "target": "current_text",
          "reason": "No triggering condition is present."
        }
      ]
    },
    {
      "id": "LTX-003",
      "if": {
        "all": [
          {
            "path": "laka.accumulation.state",
            "operator": "in",
            "value": [
              "compounding",
              "saturated_or_entrenched"
            ]
          },
          {
            "path": "laka.scope.state",
            "operator": "eq",
            "value": "document_or_system"
          }
        ]
      },
      "then": [
        {
          "action": "escalate",
          "target": "intervention",
          "to": "governance_or_architecture"
        }
      ],
      "else": [
        {
          "action": "retain",
          "target": "current_text",
          "reason": "No triggering condition is present."
        }
      ]
    },
    {
      "id": "LTX-004",
      "if": {
        "all": [
          {
            "path": "laka.magnitude.state",
            "operator": "eq",
            "value": "minor"
          },
          {
            "path": "laka.scope.state",
            "operator": "eq",
            "value": "token"
          },
          {
            "path": "laka.reversibility.state",
            "operator": "in",
            "value": [
              "trivial",
              "easy"
            ]
          }
        ]
      },
      "then": [
        {
          "action": "apply",
          "target": "intervention",
          "mode": "direct_with_regression_check"
        }
      ],
      "else": [
        {
          "action": "retain",
          "target": "current_text",
          "reason": "No triggering condition is present."
        }
      ]
    },
    {
      "id": "LTX-005",
      "if": {
        "any": [
          {
            "path": "outcome.accuracy_change",
            "operator": "lt",
            "value": 0
          },
          {
            "path": "outcome.accessibility_change",
            "operator": "lt",
            "value": 0
          },
          {
            "path": "outcome.trust_change",
            "operator": "lt",
            "value": 0
          }
        ]
      },
      "then": [
        {
          "action": "reject",
          "target": "intervention"
        }
      ],
      "else": [
        {
          "action": "compare",
          "target": "outcome.task_success"
        }
      ]
    }
  ]
}