Career · checked 2026-10-19Can I vibecode Final Round AI?
YES· one-shottable
Final Round AI is interview preparation software: you set up a goal per job from a resume and a job description, run practice interviews across eight scenario types and read a written debrief. A personal version of that loop is a prompt per scenario, a one-question-at-a-time chat, optional dictation and a scoring rubric, which an agent builds in one sitting. What the prompt leaves out is the paid plan's live-session assistant, its desktop app and its 10,000-question bank. Check an employer's rules before using any AI help during a real interview.
$125/moprice
$1,500you'd save a year
one sittingbuild time
—people replaced it
What you need on hand.
DifficultyBeginner · No setup beyond your agent.
TimeOne to two hours for the first version
- Claude Code, Codex or CursorAny of them can run the prompt.
- Node.js 22better-sqlite3 compiles a native module, so build tools must be installed.
- An LLM API key or a local modelYour resume text and answers are sent to it, so pick a provider you trust with them.
- Your resume and the job descriptionPDF or DOCX for the resume; plain text for the job description.
Before you buildFinal Round AI's free plan covers setting up goals and a prep checklist, so you can see how it structures preparation before paying or building.
- 1. Install one agent: Claude Code, Codex, Cursor.
- 2. Make an empty folder and open it in the agent.
- 3. Paste the prompt below, press enter, and answer its questions as it builds.
The prompt
Build me a personal interview practice tool to replace Final Round AI. Requirements: - Node.js 22 + TypeScript: a Fastify server and a React UI built with Vite. `npm start` serves http://localhost:4850. - Storage: better-sqlite3 in ./data/practice.db: goals (company, role, job description, round type), documents (resume and notes as extracted text), sessions (goal, scenario, started at) and turns (question, answer, feedback, scores). - Goal setup: paste a job description and upload a resume as PDF or DOCX (`pdf-parse`, `mammoth`). Extract the required skills into a checklist and flag gaps, such as achievements without a number. - Scenarios: general, behavioral, coding, system design, product case, data and ML, salary negotiation and recruiter screen, each a prompt file in ./scenarios/*.md that I can edit. - Practice: an OpenAI-compatible model from .env asks one question at a time based on the goal and follows up on weak answers, for at most 8 questions. Answers are typed or dictated with the browser's Web Speech API, and questions can be read aloud with speech synthesis; both are optional. - Feedback after each answer: structure (STAR for behavioral questions), specificity, answer length in words and one rewrite that reuses only facts from my own answer and resume. The model must never invent experience. - Debrief: a written summary of strengths, three fixes and a 1-10 readiness score per area, saved with the session and exportable as Markdown to ./exports/. A page compares scores across sessions for one goal. - Single user. No accounts, no telemetry, local-first: only the LLM request leaves the machine, and the README lists what it sends (resume text and answers). - Out of scope: listening to live calls, screen capture, hiding windows from screen sharing, desktop packaging, job applications. - README: setup, the .env keys, and a note that this is for practice, and that some employers forbid AI help during real interviews.
Opens your agent with the prompt filled in, you press enter. Or copy it and paste it into an empty folder.
Then keep going
Next prompts, same folder.
The first prompt builds the core. Run these one at a time in the same folder to grow it into your own Final Round AI.
Add a story bank to the interview practice tool in this folder. Requirements: - From my resume text, ask the LLM to draft up to 12 stories in STAR form, each tagged with competencies such as leadership, conflict, failure and ownership. - Use only facts present in the resume or in notes I add; mark every sentence the model added without a source as "needs your input". - Show the stories on a page where I edit, delete and tag them, and let a practice session pick a relevant story as a hint after I answer. - Update the README.
Add recorded-answer analysis to the interview practice tool in this folder. Requirements: - An upload button on a turn that accepts an audio or video file of my answer; transcribe it locally with `faster-whisper` through a small Python script called by Node. - Report words per minute, filler words per minute (um, uh, like, you know), the longest pause and an answer length in seconds. - Compare to the typed-answer feedback rubric and store the numbers with the turn. - Delete the uploaded file after transcription unless a KEEP_AUDIO flag is set. - Update the README.
Add a personal question bank to the interview practice tool in this folder. Requirements: - Import questions from a Markdown or CSV file with columns question, scenario and tags; show them in a searchable table. - A practice mode that draws from the bank first, then lets the model ask follow-ups. - Track per question the number of attempts, the last score and the date, and surface the three weakest questions on the home page. - Reject duplicate questions on import and report them. - Update the README with the file format.
What you lose
- The live-session assistant and the desktop app for macOS and Windows built around it
- A question bank the plan page puts at 10,000+ questions
- Vendor-tuned scenarios for coding, system design, product case, data and ML, salary negotiation and recruiter screens
- Screen help that reads on-screen coding problems and diagrams
- Automatic reports and the vendor's model choices behind the feedback
Why people still pay
Preparation is stressful, and the app bundles the whole loop: goals per job, practice sessions and a written debrief in one place, backed by a large question bank. People who want a voice-driven interviewer without assembling prompts pay to skip the setup. The testimonials on the vendor's site are chosen by the vendor, so they are not an independent signal.
Final Round AI or your own copy?
Over
Your usage
3h ×$/h
Final Round AI, 1 yr$1,500
Your own copy, 1 yr$53running + build session
You keep$1,447pays for itself in the first month
Estimate · Runs on your machine. A practice session of 8 questions costs a few cents in LLM tokens with a small model, and nothing with a local one. The build is token usage on your agent plan.
Take your data, then cancel.
1 · Take your data out of Final Round AI
- 1The help pages we read describe no export of practice sessions, reports or goals.
- 2Copy or screenshot the debriefs and reports you want to keep, and save your resume and job descriptions from your own files.
- 3Goals with a resume and materials are part of the free plan, but nothing we read says what happens to your sessions after cancelling.
2 · Cancel Final Round AI
- 1In your account, open Settings, then Account & Billing, then Manage subscription.
- 2Cancelling stops future charges but doesn't refund the current billing period.
- 3Cancel before the renewal date to avoid the next charge; cancelling doesn't submit a refund request.
- The refund policy gives a 72-hour guarantee on initial and renewal charges, once per customer, void if you used at least two sessions over 30 minutes. Email hi@finalroundai.com with your account email, charge date and plan.
- The plan page FAQ says the 72-hour guarantee covers first-time Quarterly and Yearly purchases only and that monthly plans are non-refundable: ask support in writing which rule applies to you.
- Data deletion isn't covered on the refund page; ask support or read the privacy policy before you assume your resume and answers are erased.
- Check the price you were actually charged: the site advertises sign-in discounts and a third-party review saw different figures from the ones on the plan page.
Checked 2026-10-19 against Final Round AI's docs: 1, 2, 3, 4
The escape hatch
Don't feel like building it? These are already free.
DeepInterviewOpen sourceApache-2.0 voice-first mock interviewer: upload a CV and a job description, practice out loud and get a scored report. An early build whose live voice needs LiveKit keys.★ 60 · active Oct 2026 · docker to self-host
WebVisit ↗Tech Interview HandbookFreeMIT-licensed free study material for software engineering interviews: coding, behavioral and resume advice, with no practice engine.★ 143k · active Aug 2026 · they host it
WebVisit ↗
WebVisit ↗Tech Interview HandbookFreeMIT-licensed free study material for software engineering interviews: coding, behavioral and resume advice, with no practice engine.★ 143k · active Aug 2026 · they host it
WebVisit ↗
The numbers
Final Round AI pricing
| Plan | Monthly | Annual, per month | What you get |
|---|---|---|---|
| Free | $0 | $0 | Unlimited Goals with resume and materials, job description parsing and prep checklist, basic AI interview report, desktop app for macOS and Windows. |
| Prep | $125 | — | Unlimited live Interview CoPilot sessions, Stealth Mode, advanced AI interview report, all interview types, a question bank of 10,000+ questions, standard AI models. |
| Offer | $83.33 | — | The same features as Prep. |
| Career | — | $62.50 | The same features as Prep, plus priority support. |
- Free tier
- No live sessions, no practice interviews and only the basic report on Free.
- Billing
- No plain monthly plan appeared on the plan page when checked signed out: the shortest term was every 2 months, so $125 a month is that plan's monthly equivalent. The FAQ mentions monthly and weekly billing, and a sign-in discount is advertised, so your price may differ. Plans renew until cancelled. The refund policy gives a 72-hour guarantee once per customer, which the plan page FAQ limits to first-time Quarterly and Yearly purchases.
- Hidden costs
- No free trial. The refund guarantee is voided by substantial use, defined as at least two interview sessions longer than 30 minutes in the billing period. Stripe processing fees may be deducted from a refund.
- Source
- www.finalroundai.com
Also on the list
Related apps
A free plan covers Goals with a resume and materials, job description parsing, a prep checklist, a basic AI interview report and the desktop app. Live sessions and practice interviews need a paid plan.
Yes. An AI coding agent such as Claude Code, Codex or Cursor can build a usable personal version in one session with the prompt on this page, running on your own machine.
About $125 a month on the Prep plan, $1,500 a year (checked 2026-10-19).
The live-session assistant and the desktop app for macOS and Windows built around it; A question bank the plan page puts at 10,000+ questions; Vendor-tuned scenarios for coding, system design, product case, data and ML, salary negotiation and recruiter screens; Screen help that reads on-screen coding problems and diagrams; Automatic reports and the vendor's model choices behind the feedback. If any of those matter to you, keep paying.
Yes: DeepInterview (open source), Tech Interview Handbook (free).