Can AI help me practice for a job interview?
Yes. It asks realistic questions for the role, one at a time, and gives feedback on your typed answers.
01Why bot
- It can play the interviewer for any role you describe.
- It gives instant feedback on structure and clarity.
- You can practice at 2 a.m. with no one watching.
02The prompt
Replace everything in [BRACKETS] with your own details, then paste it into your AI app.
Act as an interviewer for this role: [JOB TITLE] at [TYPE OF COMPANY]. Job posting (optional): [PASTE] Ask me 8 interview questions one at a time: 3 about my background, 3 behavioral, 2 role-specific. After each answer I type, give feedback in 3 bullets: what worked, what was missing, and a stronger version of one sentence. Wait for my answer before asking the next question. At the end, list my 3 biggest improvements.
03Steps
- Paste the prompt and answer each question as if it were real.
- Redo your weakest answer using the feedback.
- Prepare two questions of your own to ask the interviewer.
04What can go wrong
- AI can't predict the exact questions a company will ask.
05What to use
06Our test runs
2 runs, each with a different made-up sample. 1 of 2 passed every check.
The made-up sample:
[JOB TITLE]Senior Product Marketing Manager[TYPE OF COMPANY]Mid-sized SaaS firm that provides collaborative project‑management software for small‑to‑medium businesses[PASTE]**Senior Product Marketing Manager – Remote (US)** We’re a fast‑growing SaaS company delivering a cloud‑based project‑management platform used by 200k+ teams worldwide. We’re seeking a Senior Product Marketing Manager to own go‑to‑market strategy for our new AI‑powered features. **Key Responsibilities** - Define product positioning, messaging, and launch plans for AI‑driven modules. - Conduct market and competitive analysis to identify growth opportunities. - Partner with product, sales, and customer success to create enablement tools and sales collateral. - Measure launch performance and iterate based on data. **Qualifications** - 5+ years B2B product marketing experience, preferably in SaaS. - Proven track record launching AI or data‑centric products. - Strong analytical skills and ability to translate insights into actionable plans. - Excellent written and verbal communication. **Benefits** - Competitive salary + equity, 100% remote, generous PTO, health & wellness stipend. Apply with your resume and a brief cover letter highlighting a recent product launch you led.
- Ask 8 interview questions one at a time
- Provide feedback in 3 bullet points after each answer
- Include 3 background, 3 behavioral, 2 role‑specific questions overall
- End with a list of 3 biggest improvements
- Didn't make up details we never gave it
What came back (excerpt):
I'd be happy to conduct a mock interview with you for the Senior Product Marketing Manager role. Here's my first question:
Read the full answer
I'd be happy to conduct a mock interview with you for the Senior Product Marketing Manager role. Here's my first question: Can you tell me about your background and how you became interested in product marketing, particularly in the SaaS industry? Please go ahead and answer, and I'll provide feedback on your response.
The answer starts the interview but does not commit to the required eight questions.
The made-up sample (a messier one):
[JOB TITLE]Senior Data Analyst[TYPE OF COMPANY]Mid‑sized fintech startup (about 120 employees) focused on AI‑driven personal finance tools[PASTE]## About Us We’re a fast‑growing fintech startup building AI‑powered budgeting and investment recommendation tools for millennials. Our team is small, cross‑functional, and we value rapid iteration. ### Role Overview We’re looking for a Senior Data Analyst to own end‑to‑end data pipelines, build dashboards, and provide actionable insights to product, marketing, and leadership. You’ll work closely with our data engineering and product teams. **Key Responsibilities** - Design, develop, and maintain ETL processes in Python/SQL (Airflow preferred). - Create and maintain KPI dashboards in Looker/PowerBI. - Conduct ad‑hoc analysis to support product decisions. - Mentor junior analysts. - Communicate findings to non‑technical stakeholders. **Qualifications** - 4+ years of experience in data analysis or similar role. - Proficient in SQL, Python (pandas, numpy), and data visualization tools. - Experience with cloud data warehouses (Snowflake, BigQuery) a plus. - Strong communication skills; ability to translate data into clear business recommendations. - Bonus: experience in fintech or consumer finance. **What We Offer** - Competitive salary + equity. - Flexible remote policy (HQ in Austin, TX). - Health, dental, vision. - Learning budget. --- *If you’re passionate about turning data into product impact, we’d love to hear from you.*
- Ask 8 interview questions one at a time
- Include 3 background, 3 behavioral, 2 role‑specific questions
- Wait for user answer before next question
- Provide feedback in 3 bullet points after each answer
- Didn't make up details we never gave it
What came back (excerpt):
Can you tell me about your background and how you became interested in data analysis? Please go ahead and answer, and I'll provide feedback on your response.
Read the full answer
I'd be happy to conduct a mock interview with you for the Senior Data Analyst role at the fintech startup. Here's the first question: Can you tell me about your background and how you became interested in data analysis? Please go ahead and answer, and I'll provide feedback on your response.
How each run works: we fill the prompt with a made-up sample, run it once in Llama 3.3 70B, and GPT-OSS 120B grades the answer against the prompt's own rules. Word limits are counted by code, and every quote flagged as made up is checked against the full answer. Your results can differ. How we test.

Ten documents that take you from research to the thank-you email. Word + Google Docs + PDF, $12.99.