πŸŽ‰ New: 2026 System Design question bank β€” refreshed weekly from real FAANG & AI-lab loops. See it live β†’
⚑ Interview prep for Big Tech · a study buddy for everything else

Ace every Big Tech interview
with a lifelike AI copilot

Rehearse face-to-face with a lifelike AI interviewer built on 10+ years of real interview experience β€” practice the exact rounds that decide offers at Google, Amazon, Meta, OpenAI and Anthropic.

β˜…β˜…β˜…β˜…β˜… Trusted by 1,200,000+ US tech candidates
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β€Ή Software Engineer, AI Infrastructure Β· Anthropic
πŸŽ™βš™β˜€βœ†
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πŸŽ₯ AI Interviewer
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πŸŽ™ You

Interview Context

SWE, AI Infrastructure @ Anthropicβ–Ύ
SWE_resume_2026.pdfβ–Ύ
Claude Opus 4.8 Best for codingβ–Ύ
Conciseβ–Ύ
Strict Bar-raiser pushbackβ–Ύ
✦ Launch Interview Copilotβœ“ All settings auto-saved
Copilot Answers Ready
● All services functional
β€Ή AI Mock Interview Β· System Design Β· Senior SWE @ Google
00:00πŸŽ™πŸ“Ήβœ†
RECSystem Design Β· Google loop
You
AI Interviewer
β€Ή Customization Β· Senior SWE @ Google
βœ“ Auto-savedβš™
πŸ“„
ResumeSWE_resume_2026.pdf
Replace
πŸ“‹
Job descriptionGoogle Β· L5 SWE.txt
Replace
Model switch per round
GPT-5.1Best for executive
Claude 4.5Best for behavioral
GPT-4Best for coding
Gemini 3.0Best for practice
Answer length
Concise
Balanced
Detailed
Tone
Confident
Friendly
Executive
Answer language
English
δΈ­ζ–‡
EspaΓ±ol
Grounding & extras
🧠
Ground in resumePull from your real projects
πŸ“‹
Use job descriptionMatch the role's rubric
πŸ—
System-design deep modeAlways surface trade-offs
⌨️
Live code hintsComplexity + snippets
🌐
Non-native supportSimpler phrasing, no idioms
β€Ή Session Deep-Dive Report Β· Senior SWE @ Google
πŸ“… Jul 10, 2026β€“βœ•
0/100
STRONG HIRE SIGNALBUILT FROM THIS SESSION Senior SWE Β· L5 band
Top 0% of Senior SWE candidates this month Β· β–² +7 vs last session
Not a template β€” every score below is traced to moments in this session's transcript Β· benchmarked against 1,400+ real FAANG loop rubrics
🎯 Offer Probability β€” where you'll win your profile Γ— live hiring bars
Computed from 1,400+ real loop rubrics Γ— your last 6 sessions. Refreshed weekly.
Six-dimension deep dive went well Β· fell short Β· how to improve β€” per dimension
πŸ“… Your prep timeline generated from this session's gaps
Days 1–2
Fix the fastest win: openings

Rewrite your top 3 stories to lead with the headline number, then re-run the behavioral round to lock it in.

Days 3–5
Deepen Content Depth (78)

Drill two designs past box-diagram level β€” name the data structures, quotas and configs. Use system-design deep mode.

Week 2
Train Adaptability (75) pivots

Run mocks with mid-question constraint changes until re-anchoring takes under 5 seconds.

Week 3
Full loop rehearsal

Complete a Google-style loop end-to-end β€” target 90+ on all six dimensions before your onsite.

Breakdown Q2 Β· System design β–Ύ
Q2 Β· Can you describe the hardest system you've worked on?
Your Answer

In my previous role, I rebuilt our notification pipeline under a very tight deadline. I worked closely with infra and product, and we launched on time. It was stressful, but I learned the importance of clear ownership and communication… Expand

Highlight
  • Your answer fully applied the STAR framework, clearly presenting the situation, actions and result β€” an excellent example you can reuse in real interviews.
  • You demonstrated strong ownership and cross-team collaboration, balancing speed with reliability β€” recruiters will flag this as a positive signal.
✦ AI Improvement
Try this instead:

In my last job, our notification pipeline dropped 3% of messages at peak. My task was to rebuild it within 3 weeks without downtime. I led 4 engineers, moved us to fan-out-on-write with an idempotent consumer layer, and shipped behind a canary. p99 delivery latency fell 38% and pager alerts dropped 60%.

⚑ Area of ImprovementLacked measurable outcome
⚑ Area of ImprovementEmphasize leadership decisions
⚑ Area of ImprovementQuantify impact next time

Our users have landed offers at

GoogleAmazonMetaAppleMicrosoftNVIDIAOpenAIAnthropic
Features

Everything you need to win the room

πŸŽ₯ Lifelike AI interviewer

Rehearse with an AI that feels human

Turn your camera on and interview face-to-face with a human-like AI that speaks, listens and asks real follow-ups β€” a true back-and-forth mock loop modeled on how Google, Amazon and Meta actually interview, not a static question list.

  • βœ“ Natural voice, facial cues & live follow-up questions
  • βœ“ Company-specific loops: Google, Amazon, Meta, OpenAI, Anthropic
  • βœ“ Behavioral, product sense, system design & coding rounds
  • βœ“ Realistic questions from real production incidents β€” not URL-shortener templates
  • βœ“ Interviewer personas: strict bar-raiser, patient, humorous, fast talker
Live
πŸŽ₯ AI Interviewer Β· Google loop
AI Interviewer
"Let's design a notification system for 100M users β€” walk me through your fan-out strategy and what you'd monitor."
πŸ— System design β€” our strongest suit

Win the round that decides senior offers

System design is where Big Tech decides your level and your pay β€” and it's where we're unmatched: no tired URL-shortener or chat-app templates. You get realistic questions modeled on real production war rooms, refreshed weekly from real FAANG and AI-lab loops, asked by an AI interviewer distilled from 10+ years of senior interviewing experience.

  • βœ“ Real-incident questions: "Design a circuit breaker that isolates a war-room incident in an AI lab's infra β€” mixed workloads, with large-scale distributed LLM training in the blast radius"
  • βœ“ Latest 2026 question bank β€” sourced from real Google / Meta / OpenAI / Anthropic loops
  • βœ“ Interviewer persona with 10+ years of experience: real rubrics, real pushback
  • βœ“ Knowledge base of patterns & trade-offs: sharding, fan-out, consistency, backpressure
🚨 Circuit breaker for AI-lab infra · war-room incident Live round
Mixed workloads Β· large-scale distributed LLM training Β· isolate the blast radius
Circuit breaking Blast radius Workload isolation Backpressure Checkpoint recovery
πŸ“š Question bankUpdated this week
1,400+ system design questions Β· real loop rubrics
⚑ Real-time

Answers before you even finish thinking

Interview Copilot transcribes the interviewer in real time and streams a structured answer to your screen in under 2 seconds β€” behavioral, technical, or system design.

  • βœ“ Sub-2-second latency, streamed word-by-word
  • βœ“ STAR-formatted behavioral answers
  • βœ“ Live coding hints & complexity analysis
πŸ’¬ Live answer Streaming
⏱ Latency1.4s
🎯 Personalized

Grounded in your real experience

Upload your resume and the job description. Every answer pulls from your actual projects and the role's requirements β€” so it sounds like the best version of you, not a chatbot.

  • βœ“ Resume + JD context injection
  • βœ“ 5+ frontier models to choose from
  • βœ“ Adjustable length, tone & language
🧠 Ground in resume
πŸ“„ Use job description
🌐 Non-native mode
🎚 Answer lengthConcise
πŸ“Š Deep-dive report

Not a generic report β€” a deep dive into this session

Every session generates a report built from your actual transcript: six scored dimensions, and for each one what went well, what fell short and how to get better β€” plus a prep timeline that takes you to your onsite.

  • βœ“ Six score dimensions, benchmarked against real offer-getters
  • βœ“ Per-dimension feedback: went well Β· fell short Β· how to improve
  • βœ“ A week-by-week prep timeline generated from your gaps
82
OverallStrong
🧠 Beyond interviews

Not just a mock interviewer.
Your second brain.

Interview Copilot ships with agentic study tools that help you master anything β€” system design, exams, PhD research, or your startup's next market.

πŸ“ Automatic notes

Notes that write themselves after every session

The moment a session ends, one of our state-of-the-art AI models generates notes customized to your exact study context β€” the tricks, patterns and fundamentals you need for your target, and nothing that overwhelms you.

  • βœ“ Calibrated to your target level β€” from L3 all the way to L8
  • βœ“ Same engine for exam prep, PhD research and startup research
  • βœ“ Ready seconds after you hang up β€” zero manual note-taking
πŸ“ Session notes Β· AI Infra @ L5 Auto-generated
✦ What today's session surfaced
  • GPU scheduling: taints + priority classes β€” keep training preemptible, inference never.
  • Failure domains: spread training jobs across topology zones; checkpoint to object storage every N steps.
  • L5 signal: quantify blast radius β€” GPUs idled, restart cost, SLO burn on inference.
🎯 Calibrated toL5 β†’ L6 track
Also supports: exam prep Β· PhD research Β· startup research
πŸ•Έ Interconnected brain graph

Every note connects into one growing graph

Notes never sit isolated or atomic. Each one links into your personal brain graph β€” concepts connect across sessions, so reviewing one idea resurfaces everything related to it.

  • βœ“ New notes link to related concepts automatically
  • βœ“ Review one idea, resurface everything connected to it
  • βœ“ Your knowledge compounds with every session
  • βœ“ Syncs to your favorite tools β€” Obsidian (graph, backlinks & all) and Notion
  • βœ“ Plain Markdown export β€” your notes are yours, no lock-in
GPU cluster infra Fan-out on write Idempotency Backpressure Kubernetes CSI Resource-aware scheduling + Circuit breaking
Your graph this month3 sessions Β· 42 notes Β· 118 links
1.2M+
US tech candidates
250K+
Offers landed
10+ yrs
Interviewer experience distilled
4.9β˜…
Average rating
How it works

Live in three minutes

1

Set your context

Upload your resume, paste the job description, and pick your target role and model.

2

Rehearse or go live

Run a mock loop with the AI interviewer, or launch the copilot inside a real interview on any platform.

3

Answer with confidence

Read tailored, structured answers streamed live β€” then review your report afterward.

Loved by candidates

From rejected to hired

β˜…β˜…β˜…β˜…β˜…

"I bombed three PM interviews before this. The mock loop with the AI interviewer fixed my STAR structure β€” got the Google offer two weeks later."

SL
Sarah L.Product Manager Β· Google
β˜…β˜…β˜…β˜…β˜…

"The system design mock was brutal β€” in a good way. Real follow-ups on fan-out and idempotency, exactly like my onsite. Cleared Amazon's design round and got L5."

DK
David K.SDE II Β· Amazon
β˜…β˜…β˜…β˜…β˜…

"As a non-native speaker, practicing face-to-face with the AI interviewer killed my nerves. Walked into Meta calm and landed the offer."

MR
Maria R.Data Scientist Β· Meta
FAQ

Questions, answered

Three reasons: a question bank refreshed weekly from real FAANG and AI-lab loops β€” realistic production scenarios, not URL-shortener templates β€” an AI interviewer built on 10+ years of senior interviewing experience, and a deep knowledge base of patterns, trade-offs and real rubrics behind every follow-up.

No. The same agent doubles as a general study assistant: it auto-generates notes after every session, links them into your brain graph, and syncs to Obsidian and Notion β€” so you can use it for exams, PhD research or startup research, not just interview prep.

No. The desktop overlay is excluded from screen-share capture on Zoom, Meet and Teams, and lives on your own display only.

You turn on your camera and interview face-to-face with a lifelike AI interviewer that speaks, listens and asks real follow-ups β€” tuned to each company's loop. You get live scoring and a full report afterward.

Any platform with audio β€” Zoom, Google Meet, Microsoft Teams, Webex, phone screens, and coding tools like HackerRank and CoderPad.

Sessions are encrypted in transit and you can delete transcripts anytime. We never sell your data or share it with employers.

Walk in prepared. Walk out with the offer.

See how Interview Copilot turns practice into signed offers β€” book a live walkthrough with our team.

Book a demo β†’
30-minute live walkthrough Β· System design deep-dive included
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