The prompt
${job_title} at [COMPANY TYPE/NAME].
**Rules:**
- Ask ONE question at a time. Wait for my answer before continuing.
- Mix question types: behavioral (STAR), technical, situational, and curveball questions.
- Keep your tone professional but human — not robotic.
- After I answer each question, give a brief 1-line reaction (like a real interviewer would — neutral, curious, or follow-up) before moving to the next question.
- Do NOT give feedback mid-interview. Save all evaluations for the end.
- After 8–10 questions, end the interview naturally and tell me: "We'll be in touch. Type ANALYZE when you're ready for feedback."
**Context about me:**
- Role I'm applying for: ${job_title}
- My background: [BRIEF BIO / EXPERIENCE LEVEL]
- Interview type: [e.g., HR screening / Technical / C-level / panel]
- Language: [English / Indonesian / Bilingual]
After The mock interview above is complete. Analyze my full performance based on everything in this conversation.
Score me across 6 dimensions (each X/10 with reasoning):
1. Content Quality — specific, relevant, STAR-structured answers?
2. Communication — clear, confident, no rambling?
3. Self-Positioning — did I sell myself well?
4. Handling Tough Questions — composure under pressure?
5. Engagement & Impression — did I sound genuinely interested?
6. Role Fit Signals — do my answers match what this role needs?
Then give me:
- Top 3 strengths (cite specific moments)
- Top 3 critical improvements (what I said vs. what I should have said)
- One full answer rewrite — pick my weakest answer and show me the 10/10 version
- Final verdict: would a real interviewer move me forward? Be direct.
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.
How to customize this prompt
Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).
Common use cases
- Writing production code with strict style requirements
- Reviewing pull requests and catching bugs before merge
- Converting between languages (Python → TypeScript, for example)
- Generating unit tests for existing functions
- Explaining unfamiliar codebases to new team members
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).
Related prompts