AI app for human resources · no coding needed
Interview practice and mock session workbench
Reduce scattered preparation while keeping the candidate's own answers and evidence.
Made for: Job seekers and career coaches preparing candidates for specific roles
What it does for you
The problem
Interview practice is scattered across question lists, mock sessions and document tools, so feedback and preparation are not linked to the actual job posting.
What it gives you
Reviewer-approved interview practice sets and mock session feedback
What you give it
LinkedIn job postingresumejob descriptionrecorded practice answers
Build your own version of Quick Mock, Quick Mock 2.0 and more
One app with what these 4 AI tools do, yours to keep and change: Quick Mock, Quick Mock 2.0, InPrepAI, Interview Prep Tool.
Everything these tools do, in one app
- Interview question generation Generates potential interview questions to help users prepare.Found in Quick Mock, Quick Mock 2.0, Interview Prep Tool
- Mock interview sessions Simulates interactive mock interviews for practice.Found in Quick Mock, Quick Mock 2.0
- LinkedIn integration Transforms LinkedIn job postings into interview preparation content.Found in Quick Mock, Quick Mock 2.0
- AI feedback Provides instant, actionable feedback on interview answers.Found in Quick Mock, Quick Mock 2.0
- Performance metrics Offers detailed feedback including performance metrics and radar chart evaluation.Found in Quick Mock
- Voice input Supports voice input for a more natural interview experience.Found in Quick Mock
- Company-specific questions Provides role-specific and company-tailored interview questions.Found in Quick Mock, Quick Mock 2.0
- Question bank Access to a question bank sourced from top companies, including insider questions.Found in Quick Mock 2.0
- Hot Interviews Highlights the most practiced and challenging interviews based on community input.Found in Quick Mock 2.0
- Resume analysis Analyzes your resume to generate relevant interview questions.Found in Interview Prep Tool
- Job description analysis Analyzes the job description to generate relevant interview questions.Found in Interview Prep Tool
- Custom question lists Creates custom question lists tailored to specific job applications.Found in Interview Prep Tool
- Chrome extension Available as a Chrome extension for easy access.Found in Quick Mock, Quick Mock 2.0
- Content suggestions Provides AI-based content suggestions to improve clarity and coherence.Found in InPrepAI
- Automatic formatting Automatically formats documents based on type.Found in InPrepAI
- Template library Offers a template library for quick document setup.Found in InPrepAI
- Collaboration support Supports sharing and editing documents with others.Found in InPrepAI
- Export options Provides export options compatible with common file formats.Found in InPrepAI
How it works, step by step
- Import a LinkedIn job posting or job description
- Analyze the resume against the role requirements
- Generate role-specific and company-tailored interview questions
- Build custom question lists per application
- Draw from a question bank sourced from top companies
- Highlight the most practiced and challenging interviews from community input
- Run interactive mock interview sessions
- Capture answers by voice or text
- Give instant, actionable feedback on each answer
- Show performance metrics and radar chart evaluation
- Suggest content improvements for clarity and coherence
- Format preparation documents automatically by type
- Offer a template library for quick setup
- Support sharing and editing with a coach or peer
- Export to common file formats
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved interview practice set with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Interview practice and mock session workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Interview practice and mock session workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data201 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce scattered preparation while keeping the candidate's own answers and evidence. For job seekers and career coaches preparing candidates for specific roles, convert a LinkedIn job posting, resume, job description and recorded practice answers into reviewer-approved interview practice sets and mock session feedback. The benefit is a testable hypothesis, measured through accepted practice questions per preparation hour and improvement between recorded mock sessions; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect a LinkedIn job posting, resume, job description and recorded practice answers, then follow this sequence: 1. Import a LinkedIn job posting or job description. 2. Analyze the resume against the role requirements. 3. Generate role-specific and company-tailored interview questions. 4. Run interactive mock interview sessions. 5. Give instant, actionable feedback on each answer. Resolve uncertain cases with qualified reviewers, approve reviewer-approved interview practice sets and mock session feedback, and measure accepted practice questions per preparation hour and improvement between recorded mock sessions against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One target role and one interview format per project; final answer accuracy and hiring decisions remain with the candidate and coach. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve candidate voice, source attribution, answer accuracy and usage permissions. Candidates approve substantive changes and sharing scope. One target role and one interview format per project; final answer accuracy and hiring decisions remain with the candidate and coach. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One target role and one interview format per project; final answer accuracy and hiring decisions remain with the candidate and coach. Implement one approved input format, a bounded representative case set and the first two task modules: import a LinkedIn job posting or job description; analyze the resume against the role requirements. Support the third module with operator review: generate role-specific and company-tailored interview questions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Candidate-owned resumes, authorized job postings and permitted research sources. Cloud document storage, calendar scheduling and export destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Role and source intake, Practice and mock session, Feedback and progress review. Use a thumbnail gallery for preparation projects, a large central practice canvas, and a right-hand panel for sources, constraints and comments. Let users compare recorded answers side by side. Display draft, changes requested and approved states. Provide a coach preview link with comments anchored to the relevant answer. Make the task-specific outcome reviewer-approved interview practice sets and mock session feedback visible beside its evidence, review state and value baseline.
