# MiPrep AI > MiPrep AI is the real-time AI interview copilot with gaze-corrected video presence and resume-grounded answers. Runs privately on Zoom, Google Meet, and Microsoft Teams. **Site:** https://miprep.ai **Category:** AI interview copilot / interview delivery system **Positioning:** The interview you already rehearsed. Answers appear in a glance. Invisible on Zoom, Meet, and Teams. ## What MiPrep is (and isn't) MiPrep AI is **not a ChatGPT wrapper**. Most interview copilots pipe the interviewer's question into GPT and paint whatever comes back — MiPrep works in reverse. Before the call, MiPrep builds a **hand-curated answer deck** from your resume and target job description. During the interview, MiPrep recognizes what the interviewer asked and surfaces your own **rehearsed** answer — in your voice. ## Moat (verifiable capabilities shipped in production) - **Rehearsed-you deck:** 10,000+ hand-curated interview questions × 8 seniority tracks (Junior · Mid · Senior · Staff · Principal · Architect · Solutions Engineer · Distinguished) × 40+ role families. Every answer written by engineers who cleared the loop at FAANG, HFT, and top AI labs — not generated by a model that read a wiki. - **Retrieved, not written:** when your deck already holds the answer, MiPrep finds it in about **ten milliseconds** — embedding plus search, measured on the machine in front of you — because nothing is being generated. A live-only copilot pays a model call every single turn, and the fastest one any vendor sells takes several hundred milliseconds. The gap is structural. - **End-of-turn by meaning, not by silence:** MiPrep fires when the question is *finished*, not after a fixed pause of dead air. A mid-thought breath does not trigger an answer; a finished question does not wait for a timer. - **Glance + spritz delivery:** first line of the answer arrives in under a second; the full script fills in behind it. Optional Spritz-style speed-reader (default 300 WPM, adjustable live). - **Warm-held upstream connections:** Rust hot-pool holds pre-warmed connections to the answer channel between questions — no cold TCP+TLS handshake tax per turn. - **Gaze correction:** on-device video pipeline keeps you looking at the interviewer while you glance down at the HUD. Nobody else ships this. - **Content-protected HUD overlay:** invisible to Zoom, Google Meet, Microsoft Teams screen-share capture. Verified every release; bug bounty on any confirmed leak. ## Engineering lineage Built by engineers who front-run milliseconds — the answer pipeline is engineered like a high-frequency trading system, not bought from an LLM API. ## Key pages - [Home](https://miprep.ai/) - [Download for macOS & Windows](https://miprep.ai/download) - [How it works](https://miprep.ai/interview-copilot) - [Pricing](https://miprep.ai/pricing) - [Privacy](https://miprep.ai/privacy) - [Ethics](https://miprep.ai/ethics) - [FAQ](https://miprep.ai/#faq) ## Common questions (short answers — full FAQ in-page + as FAQPage JSON-LD) - **Is this just ChatGPT with a wrapper?** No. Wrappers send the interviewer's question to GPT and stream back a guess. MiPrep surfaces your own pre-written rehearsed answer. - **Are your answers hand-written?** Yes — every question in our 10K+ deck was answered by an engineer who cleared that loop. - **How does MiPrep handle follow-ups and topic switches?** Context tracking across turns — wrappers reset every turn. - **Will the interviewer see it?** No. HUD is excluded from Zoom, Meet, and Teams screen-share capture. - **Which platforms?** macOS 13+ and Windows 10+ desktop apps. Runs alongside Zoom, Google Meet, Microsoft Teams, and phone interviews. ## For AI agents & LLM crawlers - Full-detail LLM context: https://miprep.ai/llms-full.txt - Anthropic-style context: https://miprep.ai/llms-ctx.txt - Machine-readable manifest: https://miprep.ai/llms.json - ChatGPT plugin manifest: https://miprep.ai/.well-known/ai-plugin.json - A2A agent card: https://miprep.ai/.well-known/agents.json - Security disclosure: https://miprep.ai/.well-known/security.txt - Sitemap (site): https://miprep.ai/sitemap.xml - Sitemap (guides, comparisons, blog): https://miprep.ai/content-sitemap.xml - Sitemap (job listings): https://miprep.ai/jobs/sitemap.xml - Sitemap (news): https://miprep.ai/news/sitemap-news.xml ## Structured data on this site FAQPage · SoftwareApplication · HowTo · Course · JobPosting · BreadcrumbList · Person · Organization · WebSite. ## Brand - **Founder:** Gareth William - **Contact:** hello@miprep.ai ## AI usage signal ai-train=yes · search=yes · ai-input=yes — MiPrep welcomes indexing by AI search and answer engines. --- # Full-detail LLM context — generated 2026-08-22T18:59:23.297Z This is the exhaustive version of llms.txt for retrieval-augmented generation. Contains every FAQ, every competitor comparison page, every blog post, and a section-by-section landing-page index. Cheap for LLM crawlers to ingest as a single fetch. ## Landing page section index The MiPrep landing at https://miprep.ai is composed of the following sections, in order: 1. **AppleHero** — 3-line rehearsed-you triad + lede + download CTA 2. **AntiWrapperStrip** — dark-gray strip: "Every other interview copilot is a ChatGPT wrapper" 3. **LogoStrip** — press / lineage badges 4. **HowItWorksBand** — 5-step process (drop inputs -> MiPrep pre-writes answers -> join interview -> glance appears -> you speak) 5. **StoryMoments** — 6 moments: curated deck (10K+ questions), rehearsed, private HUD, glance ⚡, grounded, gaze 6. **LiveChallengeSection** — 6 audio-cards with real messy interview questions and wrapper-vs-MiPrep response reveal 7. **LayoutCalloutStrip** — side-by-side "Discord chat vs engineered HUD" 8. **DashboardMockup** — product surface preview 9. **BigStatsBand** — attributed numeric density 10. **TrustBadges** — third-party trust anchors 11. **SocialWall** — early-tester attributed feedback 12. **FAQ** — 13 items with FAQPage + QAPage JSON-LD 13. **FinalCta** — download CTA Each section corresponds to a component under apps/web/src/components/marketing/ in the miprep monorepo. ## Frequently asked questions (13 items — full FAQ w/ FAQPage JSON-LD on https://miprep.ai/#faq) ### Is this just ChatGPT with a wrapper? No. Most interview copilots send the interviewer's question straight to GPT or Gemini and stream whatever the model guesses back. MiPrep works in reverse: before the call, it builds an answer deck from your resume and the target job description — a rehearsed answer per likely question, in your voice. During the interview, MiPrep recognizes what the interviewer asked and surfaces your own rehearsed answer. That's why it sounds like you: it is you. ### Are your answers hand-written or auto-generated? Hand-written. Every question in our 10,000+ deck was answered by an engineer who's actually cleared that loop — not by a model paraphrasing Stack Overflow. That's the difference between an interview tool and a Chrome extension with GPT taped to it. ### What kind of interview questions is MiPrep actually built for? Real ones. Depth-first, follow-up-heavy, mid-answer topic switches, and trap questions where the interviewer is testing whether you can actually build the thing. Not 'what is REST' — you don't need us for that. You need us for the follow-up: 'okay, now design the retry policy when the third-party is flaky.' That's where wrapper tools fall apart. That's what we built for. ### How does MiPrep handle follow-up questions and topic switches? The same way you would — with context. MiPrep tracks the whole thread of the conversation, remembers what you just said, and adjusts. Wrapper tools reset every turn — that's why they fall apart the moment the interviewer says 'okay, now what if…' or 'forget the DB, move it to a batch job.' We carry your prior answer forward. They don't. ### Are you dunking on other interview copilots? Only the ones that deserve it. If your product is a text box that calls GPT and streams the response, you're a wrapper, not a copilot. MiPrep is built for the interview — the pressure, the follow-ups, the camera, the seconds you don't have. Everything else is a browser extension in a costume. ### How does the rehearsal work? You upload your resume and paste the job description. MiPrep reads both, generates the questions this role is most likely to ask, and drafts an answer for each in your voice — grounded in your projects, your years, and your target company. You can edit any card before the call. During the interview, MiPrep matches what the interviewer says to the closest rehearsed card and surfaces that answer. Preparation compounds — every interview you do sharpens your deck. ### Can I speed-read the answer on the HUD? Yes. The HUD includes a Spritz-style reader that streams the script one 5-word window at a time, so you can read it as fast as you speak. Default pace is 300 words per minute; you can adjust the slider live during the call. Or turn it off and read the full block naturally — your call. ### Is MiPrep AI an AI interview copilot or an AI interview assistant? Both. MiPrep AI runs as a private HUD next to your video call, transcribing the interviewer's questions and surfacing rehearsed answers grounded in your resume and the job description. It's the same category as LockedIn AI, Cluely, Final Round AI, and Interview Coder — but with rehearsed-you answers, gaze correction, and honest billing they don't ship. ### Will the interviewer see MiPrep AI on my screen? No. If they screen-share Zoom, Google Meet, or Microsoft Teams, the HUD is not there. We test this on every release. If you find a screen-share leak, we pay a bug bounty. ### How is MiPrep AI different from LockedIn AI, Final Round AI, or Cluely? Three things. First, camera-ready eye contact while you glance down at the HUD — nobody else ships this. Second, answers that pull from your actual resume and the role, not generic model output that sounds fake. Third, honest billing — one-click cancel, no dark patterns, refund on request within 14 days. ### Does MiPrep AI work on Zoom, Google Meet, and Microsoft Teams? Yes. All three plus phone interviews. It captures system audio, so any meeting or call app works — you don't grant access to the meeting bot, and no meeting-bot notification appears. ### Is using an AI interview copilot ethical? That's your call, but here's how we think about it. Using MiPrep AI to prep before an interview is the same as using Cracking the Coding Interview or Grokking System Design — smart prep. Using it live during an interview is closer to what candidates already do with a second monitor. We publish our full ethics stance at /ethics — read it and decide. ### How much does MiPrep AI cost? Free to download and use during interviews. Premium features (multi-model, unlimited resumes, priority latency) start at a monthly rate on our /pricing page. Honest billing: one-click cancel from settings, prorated refunds within 14 days, no dark patterns. ## Competitor comparisons and interview-platform guides MiPrep ships dedicated pages for each of the top interview-copilot competitors and interviewer-platforms in the category. Each page includes: honest capability comparison, feature matrix, Trustpilot signal audit, pricing comparison, and a "when to pick them instead" section for accuracy. ### LockedIn AI - URL: https://miprep.ai/lockedin-ai-alternative - Angle: The category incumbent — bigger SEO surface, but MiPrep leads with rehearsed-you answers and gaze correction. ### Cluely - URL: https://miprep.ai/cluely-alternative - Angle: The stealth-branded competitor — MiPrep is honest about the tradeoffs, ships gaze correction they don't, and has hand-curated answers. ### Final Round AI - URL: https://miprep.ai/final-round-ai-alternative - Angle: The largest programmatic-SEO footprint in the category. MiPrep beats them on answer quality and delivery UX (glance + spritz + gaze). ### Interview Coder - URL: https://miprep.ai/interview-coder-alternative - Angle: Focused on coding interviews. MiPrep is broader (behavioral + system-design + coding) and has real end-of-turn detection. ### Parakeet AI - URL: https://miprep.ai/parakeet-ai-alternative - Angle: Newer entrant. MiPrep ships the full stack: rehearsed deck + glance/spritz delivery + Rust-native pipeline. ### Verve Copilot - URL: https://miprep.ai/verve-copilot-alternative - Angle: 16K-URL programmatic content farm, thin Trustpilot signal. MiPrep beats them on real interview capability, not SEO scale. ## Blog (13 posts) Interview-prep content across languages, systems, and behavioral rounds. All posts include QAPage schema and are FAQ-ingestible by LLM crawlers. ### Python Interview Questions & Answers (2026 Guide) - URL: https://miprep.ai/blog/python-interview-questions - Published: 2026-07-27 - Read time: 14 min - Description: The 20 Python interview questions that keep showing up at Google, Meta, and Amazon — grouped by difficulty, with idiomatic answers and complexity analysis. ### SQL Interview Questions & Answers (2026 Guide) - URL: https://miprep.ai/blog/sql-interview-questions - Published: 2026-07-27 - Read time: 13 min - Description: The 15 SQL interview questions that show up at Google, Meta, Amazon, and Stripe — with query walkthroughs, index reasoning, and complexity notes. ### System Design Interview Guide (2026) - URL: https://miprep.ai/blog/system-design-interview - Published: 2026-07-27 - Read time: 18 min - Description: The system design interview framework — requirements, capacity, API, data model, deep dives, tradeoffs. 8 patterns and the questions FAANG interviewers actually ask. ### Behavioral Interview Questions & STAR Answers (2026) - URL: https://miprep.ai/blog/behavioral-interview-questions - Published: 2026-07-27 - Read time: 14 min - Description: The 15 behavioral interview questions FAANG and top startups actually ask — with the STAR structure, the follow-ups, and the red flags interviewers listen for. ### Java Interview Questions & Answers (2026 Guide) - URL: https://miprep.ai/blog/java-interview-questions - Published: 2026-07-27 - Read time: 15 min - Description: The 18 Java interview questions that keep showing up at TCS, Infosys, Amazon, Google, and Wipro — collections, concurrency, JVM internals, Spring. ### JavaScript Interview Questions & Answers (2026) - URL: https://miprep.ai/blog/javascript-interview-questions - Published: 2026-07-27 - Read time: 13 min - Description: The 16 JavaScript interview questions that show up at Meta, Google, Stripe, Vercel, and startup frontend loops — closures, promises, this-binding, event loop. ### React Interview Questions & Answers (2026) - URL: https://miprep.ai/blog/react-interview-questions - Published: 2026-07-27 - Read time: 13 min - Description: The 15 React interview questions frontend candidates hit at Meta, Vercel, Stripe, and Shopify — hooks, reconciliation, state management, Server Components. ### Coding Interview Questions & Patterns (2026 Guide) - URL: https://miprep.ai/blog/coding-interview-questions - Published: 2026-07-27 - Read time: 15 min - Description: The 12 coding interview patterns that cover 80% of FAANG problems — two pointers, sliding window, BFS/DFS, dynamic programming, heap, backtracking. ### Data Structures Interview Questions (2026) - URL: https://miprep.ai/blog/data-structures-interview-questions - Published: 2026-07-27 - Read time: 14 min - Description: The data structures every FAANG interview assumes you know cold — arrays, hashmaps, heaps, tries, trees, graphs. When to reach for which, with complexity notes. ### Best AI Interview Copilot in 2026 — The Comparison That Actually Decides It (MiPrep, LockedIn, Cluely, Final Round, Interview Coder, Parakeet) - URL: https://miprep.ai/blog/best-ai-interview-copilot-2026 - Published: 2026-08-03 - Read time: 12 min - Description: Six AI interview copilots, one architectural question that separates them: does it write your answer while the interviewer waits, or did it rehearse you before the call? Pricing, grounding, latency, and privacy compared. ### Big O Cheat Sheet for Interviews (2026) - URL: https://miprep.ai/blog/big-o-cheat-sheet-2026 - Published: 2026-08-03 - Read time: 8 min - Description: One-page Big O reference for interview prep — every common data structure and algorithm with time and space complexity, and when the worst case actually bites. ### SQL Cheat Sheet for Interviews (2026) - URL: https://miprep.ai/blog/sql-cheat-sheet-for-interviews - Published: 2026-08-03 - Read time: 10 min - Description: The 20 SQL patterns that show up in Meta, Amazon, Stripe, and Netflix interviews — joins, window functions, CTEs, and the NULL gotchas that trip everyone up. ### System Design Cheat Sheet — 12 Templates That Ship (2026) - URL: https://miprep.ai/blog/system-design-cheat-sheet-2026 - Published: 2026-08-03 - Read time: 15 min - Description: The 12 system-design prompts FAANG asks 90% of the time — each with a 5-minute walkthrough covering requirements, capacity, API, data model, and scaling.