AI Model Strategy Quiz

{
  "type": "quiz",
  "passThreshold": 0.7,
  "questions": [
    {
      "id": "q1",
      "text": "A New Zealand agriculture company needs to process 80,000 sensor readings daily for crop health classification. Which model characteristic should they prioritise when selecting an AI model?",
      "points": 10,
      "options": [
        {"id": "a", "text": "The highest reasoning capability available for maximum accuracy"},
        {"id": "b", "text": "Speed and cost per query, since classification is a well-defined, high-volume task"},
        {"id": "c", "text": "The largest context window to process all readings at once"},
        {"id": "d", "text": "Multimodal capabilities for processing video alongside sensor data"}
      ],
      "correctAnswers": ["b"]
    },
    {
      "id": "q2",
      "text": "Your company uses Claude Sonnet for all AI tasks. Your monthly bill is $4,500. After analysis, you find that 70% of requests are simple email classification. What multi-model strategy would most effectively reduce costs?",
      "points": 10,
      "options": [
        {"id": "a", "text": "Switch everything to Claude Haiku to reduce costs across the board"},
        {"id": "b", "text": "Implement a router pattern that sends simple classification to Haiku and keeps complex tasks on Sonnet"},
        {"id": "c", "text": "Use the ensemble pattern to run every request thro