--- title: What Is Greenroom AI? The AI Mock Interview Platform Explained description: Greenroom AI is a voice-based AI mock interview platform that reads your GitHub and conducts live spoken interviews. Here is exactly what it is, how it works, who built it, and how it compares to alternatives. url: https://usegreenroom.app/blog/what-is-greenroom-ai last_updated: 2026-06-30 --- ← Back to blog Product · Guide # What Is Greenroom AI? The AI Mock Interview Platform Explained June 30, 2026 · 10 min read ![What is Greenroom AI — the AI mock interview platform that reads your GitHub and conducts live voice interviews](/assets/blog/what-is-greenroom-ai-hero.webp) If you've heard "Greenroom" and arrived here wondering what it actually is — this is the definitive answer. Not marketing copy. Not a features list. A clear, specific explanation of what **Greenroom AI** is, what it does, who it's for, and how it is different from every other tool in the interview prep space. **Greenroom** (usegreenroom.app) is an AI voice mock interview platform for software engineers and job seekers. It reads your GitHub repositories before each session and then interviews you — out loud, in a real spoken conversation — about your actual work. The AI interviewer is named Ari. After the session, you receive a score and structured feedback. Free to start. That's the short answer. Everything below is the detailed one. ## What Greenroom AI is, precisely Greenroom is software that conducts mock job interviews. It is not a chatbot you type into. It is not a question bank you scroll through. It is not a flashcard app. It is a voice-based AI that speaks to you, listens to your spoken answers, responds to what you said, and tells you how you did. The specific insight behind Greenroom: the gap between "knowing the answer" and "saying it well under pressure" is a real gap, and it is almost never trained by standard interview prep. Reading about STAR method doesn't train you to deliver a STAR answer in real time. Typing answers into ChatGPT doesn't train you to say them. Solving LeetCode problems doesn't train you to explain your solution out loud while someone watches. Greenroom exists specifically to close that gap — through spoken repetition with feedback. **Ari** is the name of the AI interviewer inside Greenroom. Ari is not a cheerful "you're doing great!" bot. It is calibrated to behave like a blunt senior engineer who has been on the hiring side: it asks the question, listens to your answer, and follows up with a probe based on what you actually said. If your STAR story is missing a result, Ari asks "what was the actual outcome?" If your system design skips scalability, Ari asks "how does that hold up at ten million users?" The follow-up is what makes it practice rather than a quiz. ## How Greenroom AI works, step by step **Step 1 — Sign in and connect GitHub.** You sign in with Google and optionally connect your GitHub account. GitHub connection is what makes questions personalized; without it, sessions use generic interview questions. **Step 2 — Ari reads your repos.** Before the session starts, Ari scans your GitHub repositories: the languages, frameworks, architecture patterns, and the decisions visible in your commit history. This takes about 60 seconds and happens automatically. **Step 3 — The voice session begins.** Ari speaks a question out loud. You answer by speaking. Ari listens, then responds — either with the next question or with a follow-up probe based on your answer. The session feels like a real interview conversation because it is structured like one: an opening, a technical section, a behavioral section, and a close. **Step 4 — Feedback is delivered.** After the session ends, Greenroom generates a post-session report: a score from 1–10, notes on answer structure, filler word count, speaking pace, and specific strengths and weaknesses per question. You can re-do the same session immediately and track whether the score improves. The whole loop — speak, get feedback, re-test — is what deliberate interview practice actually looks like. Most candidates never do it because most tools don't support it. ## Who built Greenroom Greenroom was built by Mohammed Faheem, a software engineer who froze in his own interviews. Not because he didn't know the technical content — he did. But he had never practiced saying it under the specific pressure of being evaluated in real time. He walked out of interviews knowing he had underperformed, and recognized that it was a preparation gap, not a knowledge gap. The standard tools — question banks, friends who'd lose interest after one session, generic chatbots — didn't fix that gap. So he built Ari: the AI interviewer he wished he could have practiced with. Greenroom is based in India and optimized for both the Indian tech hiring market (campus placements, MNC rounds, product startups) and global tech company interviews. ## What rounds Greenroom covers Greenroom is designed for the human-facing spoken rounds of an interview process: - **Technical communication rounds** — explaining your approach to a problem, walking through architecture decisions, discussing your project choices. This is distinct from writing code; it is talking about code under pressure. - **System design rounds** — discussing the structure, tradeoffs, and scaling considerations of a system. Greenroom practices the spoken delivery of system design answers, not a whiteboard. - **Behavioral rounds** — STAR-structured stories about your past work. Ari probes whether your story is specific, whether the result is quantified, whether your contribution is distinct from your team's. - **HR and phone-screen rounds** — "tell me about yourself," "why this company," "what are your salary expectations." High-repetition questions that benefit from being said aloud many times until they stop feeling rehearsed. What Greenroom does not cover: writing code against test cases (use LeetCode or HackerRank for that), paid human mock interviews with a senior engineer (use interviewing.io for that), or real-time in-interview assistance (don't use any tool for that — it's against most companies' policies and builds no skill). ## How Greenroom compares to alternatives **Greenroom vs Pramp:** Pramp pairs you with another job-seeker for peer mock interviews — free and human, but you spend half the session interviewing them, and your "interviewer" is another nervous candidate. Greenroom is an AI on demand 24/7 with consistent, scored feedback. [Full comparison →](/blog/greenroom-vs-pramp) **Greenroom vs Google Interview Warmup:** Google's tool transcribes your spoken answer and shows keyword matches — a zero-friction warm-up, but no follow-up questions and no score. Greenroom probes what you actually said and tells you specifically what to fix. [Full comparison →](/blog/greenroom-vs-google-interview-warmup) **Greenroom vs Final Round AI:** Final Round AI is a real-time copilot that feeds you answers during the live interview. That is not practice — it is cheating, carries real career risk if detected, and builds no skill you keep. Greenroom is practice before the interview. [Full comparison →](/blog/greenroom-vs-final-round-ai) **Greenroom vs ChatGPT:** ChatGPT is text-based; it trains your writing, not your speaking. With expert prompting it can help you structure answers, but it cannot interview you out loud or give you a spoken delivery score. [Full comparison →](/blog/can-chatgpt-do-mock-interviews) **Greenroom vs LinkedIn Interview Prep:** LinkedIn's tool shows you text questions and keyword tips — a useful content library, but no live conversation, no follow-up, no spoken practice. [Full comparison →](/blog/greenroom-vs-linkedin-interview-prep) **Greenroom vs HackerRank:** HackerRank trains the code-writing side of interviews — online assessments and coding rounds. Greenroom trains the spoken communication side — explaining your approach, behavioral rounds, system design discussion. Both are needed; they train different skills. [Full comparison →](/blog/greenroom-vs-hackerrank) **Greenroom vs interviewing.io:** interviewing.io connects you with real senior engineers for paid mock interviews ($100–$225/session) — the gold standard of human feedback, but not scalable for daily reps. Greenroom is for the volume work that gets your answers to the level where an expensive human session gives you maximum signal. [Full comparison →](/blog/greenroom-vs-interviewing-io) ## Pricing - **Free:** 1 mock interview per month, 10-minute sessions — $0 / ₹0 - **7-Day Confidence Pass (India only, one-time):** 3 sessions over 7 days — ₹149 - **Pro:** 10 sessions per month, 30-minute sessions — $10/month (₹499/month in India) - **Premium:** 30 sessions per month, 45-minute sessions — $20/month (₹999/month in India) No credit card required for the free tier. Sign in with Google, connect GitHub, and start immediately. ## Who Greenroom is for Greenroom is most useful if one or more of these is true: - You know your technical content but freeze or ramble when you have to say it out loud under pressure. - You have behavioral answers in your head but they come out differently than you intend when you're being evaluated. - You're preparing for a specific company interview — Google, Amazon, Meta, Microsoft, Stripe, Flipkart, Swiggy, Infosys, TCS, or any other — and want practice calibrated to that context. - You're a student preparing for campus placements and need more reps than a once-a-week peer mock can give you. - You're switching from a service company to a product company and need to translate your work history into interview-ready answers. - You need to practice at odd hours — 11pm before a 9am interview — without scheduling a human partner. Greenroom is not the right tool if your only need is coding problem practice (use LeetCode or HackerRank), or if you want a paid human expert's opinion on your answers (use interviewing.io for two or three final-dress rehearsals).
The short version: Greenroom AI is a voice-based AI mock interview platform. It reads your GitHub, interviews you out loud, follows up on your answers, and scores your delivery. It is built for software engineers who need spoken interview practice on demand — the reps that turn knowing the answer into saying it well. Free to start at usegreenroom.app.
## Frequently asked questions ### What is Greenroom AI? Greenroom AI (usegreenroom.app) is an AI mock interview platform that conducts live voice interviews for software engineers and job seekers. The AI interviewer, Ari, reads your GitHub repositories before each session and asks personalized questions about your actual work. After each session, you receive a 1–10 score and structured feedback on your delivery. It is free to start with no credit card required. ### Is Greenroom an AI or a human? Greenroom's interviewer (Ari) is an AI — specifically a large language model with voice interface, powered by Mistral for reasoning, Cartesia for text-to-speech, and Deepgram for speech-to-text. Sessions are entirely AI-driven. There are no human interviewers in Greenroom sessions. The AI asks adaptive follow-up questions based on your answers, which is what distinguishes it from tools that simply play back a fixed script of questions. ### Is Greenroom free? Yes, Greenroom has a free tier that includes one mock interview per month with no credit card required. Indian users have an additional option: the 7-Day Confidence Pass at ₹149 (one-time, 3 sessions over 7 days). Paid plans are $10/month for Pro (10 sessions) and $20/month for Premium (30 sessions), with India-specific pricing at ₹499/month and ₹999/month respectively. ### What makes Greenroom different from other AI interview tools? Three things: (1) GitHub personalization — Ari reads your actual repos and asks about your specific work, not generic questions; (2) voice-first — you practice speaking, which is what the real interview tests; (3) adaptive follow-ups — Ari responds to what you actually said, not a fixed script. Most alternatives are either text-based, use static question banks, or don't give scored per-session feedback. ### Who is Ari? Ari is the AI interviewer inside Greenroom. It is designed to behave like a blunt, experienced senior engineer on the hiring side — someone who asks a clear question, listens to your answer, and follows up with a probe when your answer is vague or missing key details. Ari is not a cheerleader. It is calibrated to give you the kind of pressure a real interview creates, so that the real thing feels familiar. ### Does Greenroom work for non-technical interviews? Yes. Greenroom covers behavioral rounds, HR rounds, and phone-screen questions for any professional role — not just software engineering. The voice format is particularly useful for anyone who knows what they want to say but struggles to say it clearly under the pressure of being evaluated. If your interview has a spoken component, Greenroom can help you practice it.