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YES

As of 13 August 2026, AI can practise a technical interview.

This still needs a person who signs their name to it.

Can you do it?

5 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ityou

What the alternative costsA purpose-built alternative is Final Round AI, which provides AI mock interviews and live interview preparation.

If this goes wrong: you practise against generic questions or accept incorrect feedback, then discover the gap during the real interview.

What to actually do

  1. Hand it to a person

    The route this page recommends

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  2. Do it yourself

    Second choice

    A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open the job advert and your CV, then copy the role, seniority, required technical skills and relevant experience into the bracketed sections of the prompt.
    2. Add the likely interview format and a short list of topics you expect, such as coding, system design, databases, cloud services or troubleshooting.
    3. Paste the completed prompt into ChatGPT, Claude or Gemini and answer each question aloud before typing a concise summary of your answer.
    4. Ask the model to continue whenever its follow-up is relevant, and ask it to restate any question that is unclear rather than guessing what the interviewer meant.
    5. Copy every technical correction into a separate note and compare it with the documentation for the relevant language, framework or service before learning it.
    6. Run a second session using the three weaknesses and five follow-up questions from the first session, then record yourself answering without looking at the feedback.

    Prompt

    Act as a demanding but fair technical interviewer for this UK job.
    
    Role and level: [paste the job title and seniority]
    Job description: [paste the job description]
    My CV or relevant experience: [paste the relevant sections]
    Technical areas to practise: [list the languages, frameworks, systems, methods or topics]
    Interview format, if known: [for example, coding exercise, system design, troubleshooting, technical discussion]
    
    Run a realistic mock interview one question at a time. Start with a question suited to the role and level, then ask natural follow-up questions based on my answer. Do not show an ideal answer before I respond. Ask me to explain assumptions, trade-offs, testing, security, performance and failure handling where relevant. Do not invent facts about my experience or the employer.
    
    After each answer, give only brief interviewer-style feedback covering technical correctness, clarity, structure and what I missed, then continue the interview. If you are unsure about a technical claim, say so rather than presenting it as fact. At the end, give me:
    1. A score for each answer using a clear rubric.
    2. The three most important weaknesses to fix.
    3. Corrected explanations for any inaccurate technical answers, separating established facts from assumptions.
    4. Five targeted follow-up questions with concise points that a strong answer should cover.
    5. A short practice plan for my next session.
    
    Keep the interview realistic and do not turn it into a lecture until the final feedback.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

  3. Use a tool built for this

    The distant third

What it gets wrong

  • AI cannot reproduce the exact interviewer, team culture or pressure of a live technical interview.
  • It can accept a plausible but technically weak answer and give feedback that sounds more certain than it is.
  • It cannot judge your real-time presence, listening, confidence or rapport as reliably as a human interviewer.
  • It does not know which skills the employer will prioritise beyond the information you provide.
  • It cannot replace checking technical corrections against current first-party documentation or asking an experienced practitioner.

Even on a YES, the friction has a name: judgement under ambiguity and verification cost.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs2
Verification1
Liability2
Effort delta2
Total9 / 10

FAQ

Can ChatGPT do a mock technical interview?
Yes. It can ask questions one at a time, follow up on your answers and give feedback against a rubric, provided you supply the role and technical context.
Is AI feedback on technical interview answers accurate?
It is useful for structure, clarity and identifying obvious gaps, but it can miss subtle technical errors or accept confident nonsense. Check corrections against current first-party documentation or an experienced practitioner.
Can AI practise coding interviews with me?
Yes. It can present coding problems, ask about complexity and edge cases, and review an explanation or pasted solution. It cannot reproduce every coding platform's interface or reliably judge code that it cannot run.
Should I use AI or a real person to practise a technical interview?
Use AI for repeated drills, question generation and immediate feedback, then use a colleague or experienced engineer for a final practice interview. A person is better at judging communication, ambiguity and the pressure of a live conversation.

Nearby answers

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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