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Cartesiaupdated May 23, 2025 · education · interview-practice

Technical Interview Practice Agent with Real-Time Feedback

An AI interviewer that conducts technical job interviews with real-time parallel analysis by three specialized evaluation agents. The system provides structured feedback on technical expertise, communication skills, and logical reasoning, helping candidates practice and improve their interview performance through voice-based interactions.

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The numbers

latency—

cost / min—

frameworkCartesia

The stack

telephonyWeb Only

speech-to-textCartesia STT

llmCerebras Llama 3.3 70B

text-to-speechCartesia Sonic-3

System prompt

No prompt published.

Config

config.json

{
  "tools": [
    {
      "name": "start_interview",
      "description": "Initiates the interview session after user confirms readiness"
    },
    {
      "name": "end_call",
      "description": "Terminates the interview session"
    }
  ],
  "architecture": "multi-agent",
  "response_format": "structured_output",
  "main_agent_model": "cerebras/llama3.3-70b",
  "background_judges": [
    {
      "name": "technical_report",
      "description": "Evaluates technical expertise"
    },
    {
      "name": "communication_report",
      "description": "Evaluates communication skills"
    },
    {
      "name": "reasoning_report",
      "description": "Evaluates logical thinking"
    }
  ],
  "judge_agent_model": "cerebras/llama3.1-8b"
}

Tools

start_interviewInitiates the interview session after user confirms readiness
end_callTerminates the interview session

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