{
  "profile": "deadnodes-llm-static-v1",
  "source": "src/i18n/translations.js:seoLandings.live-terminal-interview-meetings",
  "lang": "en",
  "route": "/live-terminal-interview-meetings",
  "canonical_url": "https://deadnodes.com/en/live-terminal-interview-meetings",
  "llm_url": "https://deadnodes.com/llm/en/live-terminal-interview-meetings.json",
  "title": "Live terminal interviews with task context",
  "description": "This workflow is built for teams who want technical interviews to produce real evidence: a meeting, a task, a candidate workspace, and AI analysis of what happened.",
  "eyebrow": "Live interview ops",
  "subtitle": "Run video interviews where candidates solve infrastructure tasks in a live terminal or Code Playbook.",
  "lede": "This workflow is built for teams who want technical interviews to produce real evidence: a meeting, a task, a candidate workspace, and AI analysis of what happened.",
  "hero_bullets": ["Video room", "Terminal session", "Code Playbook", "AI transcript summary"],
  "comparison": {
    "left_title": "Traditional interviews",
    "left_items": ["Talk-heavy", "Low operational signal", "Separate tools", "Manual debrief"],
    "right_title": "Deadnodes live meetings",
    "right_items": [
      "Real troubleshooting tasks",
      "Video, terminal, and playbook in one flow",
      "Structured candidate sessions",
      "AI-assisted comparison across interviews"
    ]
  },
  "sections": [
    {
      "title": "Give a real task during the interview",
      "body": [
        "You see not only how the candidate explains, but how they investigate systems, use the playbook, react to failure, and recover services."
      ],
      "bullets": ["Command history", "Playbook activity", "Decision path"]
    },
    {
      "title": "Watch the candidate reasoning",
      "body": [
        "The platform manages candidate access, interviewer controls, task selection, Code Playbook launch, and the meeting room lifecycle together."
      ],
      "bullets": ["Join links", "Approval flow", "Workspace controls"]
    },
    {
      "title": "Use AI to draft the review",
      "body": [
        "After the session, Deadnodes summarizes actions, reasoning, missed checks, and helps draft candidate feedback."
      ],
      "bullets": ["AI summary", "Candidate risks", "Feedback draft"]
    }
  ],
  "cta": {
    "primary": "Open interview section",
    "primary_href": "/interview",
    "secondary": "Contact us",
    "secondary_href": "/contacts",
    "note": "Available on Interview and Enterprise plans.",
    "footer_title": "Want interview meetings with live terminal signal?",
    "footer_subtitle": "Use Deadnodes for practical candidate sessions with video, terminal access, Code Playbook, and AI review.",
    "footer_primary": "Open interview section",
    "footer_primary_href": "/interview",
    "footer_secondary": "Contact us",
    "footer_secondary_href": "/contacts"
  },
  "text": "Live terminal interviews with task context\nRun video interviews where candidates solve infrastructure tasks in a live terminal or Code Playbook.\nThis workflow is built for teams who want technical interviews to produce real evidence: a meeting, a task, a candidate workspace, and AI analysis of what happened.\nVideo room\nTerminal session\nCode Playbook\nAI transcript summary\nTraditional interviews\nTalk-heavy\nLow operational signal\nSeparate tools\nManual debrief\nDeadnodes live meetings\nReal troubleshooting tasks\nVideo, terminal, and playbook in one flow\nStructured candidate sessions\nAI-assisted comparison across interviews\nGive a real task during the interview\nYou see not only how the candidate explains, but how they investigate systems, use the playbook, react to failure, and recover services.\nCommand history\nPlaybook activity\nDecision path\nWatch the candidate reasoning\nThe platform manages candidate access, interviewer controls, task selection, Code Playbook launch, and the meeting room lifecycle together.\nJoin links\nApproval flow\nWorkspace controls\nUse AI to draft the review\nAfter the session, Deadnodes summarizes actions, reasoning, missed checks, and helps draft candidate feedback.\nAI summary\nCandidate risks\nFeedback draft",
  "content_hash": "sha256-2b8f110b56c2c851860ba9ce35a393d421c960598a036a0e664879011b511a7e"
}