{
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "How much data is needed to train an AI agent?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Start with several hundred high-quality labelled examples per role. For ranking models, more examples help capture variability. Using an AI resume parser and transfer learning can reduce the initial data requirement."
      }
    },
    {
      "@type": "Question",
      "name": "Can small recruiting teams train an AI agent effectively?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Yes. Small teams can begin with rule-based automation and lightweight models. Integrate with your ATS and Recruiting CRM to collect labelled data progressively and improve the agent over time."
      }
    },
    {
      "@type": "Question",
      "name": "How should success be measured after deployment?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Measure metrics such as time to shortlist, interview acceptance rate, precision at top candidates, and recruiter time saved. Track fairness metrics to ensure balanced outcomes."
      }
    },
    {
      "@type": "Question",
      "name": "Will AI replace recruiters?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "No. AI enhances recruiter productivity by handling repetitive tasks, but human judgement remains essential for cultural fit, negotiation, and complex hiring decisions."
      }
    },
    {
      "@type": "Question",
      "name": "How often should the AI agent be retrained?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Retrain whenever performance drops or every few months depending on hiring volume. Use continuous feedback loops from recruiter actions to refresh labelled data and maintain accuracy."
      }
    }
  ]
}