Best LLMs for Topic Sequence Optimization

Output schema

Every answer on this task is checked against this JSON Schema, whichever model wrote it. An answer that doesn't fit counts as a model failure, and the call is retried on another model.

{
  "$defs": {
    "TopicSequenceItem": {
      "description": "Single topic in the recommended sequence.",
      "properties": {
        "topic_id": {
          "description": "The ID of the topic (exactly as provided in input)",
          "title": "Topic Id",
          "type": "integer"
        },
        "topic_name": {
          "description": "The name of the topic (exactly as provided in input, do not modify)",
          "title": "Topic Name",
          "type": "string"
        }
      },
      "required": [
        "topic_id",
        "topic_name"
      ],
      "title": "TopicSequenceItem",
      "type": "object"
    }
  },
  "description": "Output model for determining the optimal sequence of topics in a report.\nThe LLM analyzes topic content and determines the best reading order.",
  "properties": {
    "sequence_reasoning": {
      "default": "",
      "description": "Brief explanation of why this sequence was chosen (e.g., logical flow, building complexity, narrative arc).",
      "title": "Sequence Reasoning",
      "type": "string"
    },
    "sequenced_topics": {
      "description": "Ordered list of topics in the recommended reading sequence. First topic appears first in report.",
      "items": {
        "$ref": "#/$defs/TopicSequenceItem"
      },
      "title": "Sequenced Topics",
      "type": "array"
    }
  },
  "required": [
    "sequenced_topics"
  ],
  "title": "TopicSequenceOutput",
  "type": "object"
}