"System requirements" is usually a page nobody reads until something goes wrong. For an AI interview assistant it deserves a few minutes up front, because the thing that breaks a live session is almost never a spec sheet number — it's an audio device pointed at the wrong input, or a Wi-Fi signal that stalls for three seconds at the worst possible moment. This guide covers what the requirements actually are, which ones matter, and which ones are marketing noise.
Operating system support
CoPilot Interview is a native desktop application, which means the OS list is specific rather than "any browser". It supports Windows 10 and Windows 11 (64-bit) and macOS 12 Monterey or newer, on both Apple Silicon and Intel Macs. There is no Linux build and no mobile app, because the audio-capture and window-behaviour features it depends on are platform-specific and would degrade badly if ported carelessly.
Two practical notes. First, keep the OS reasonably current: audio permissions and screen-capture APIs changed meaningfully in recent Windows and macOS releases, and running an unsupported version is the fastest way to hit a bug nobody else has. Second, on macOS the app will ask for microphone and screen-recording permissions on first launch. Granting them is not optional — the permission prompts are how the operating system lets an app hear the meeting at all. Grant them before your interview day, not five minutes before a call, because macOS sometimes requires an app restart afterwards.
RAM and CPU: the honest numbers
Here is where most system-requirements pages inflate. A real-time AI interview assistant does very little heavy computation locally. It captures audio, ships it to a server, receives text back, and draws it on screen. The transcription and the language model both run in the cloud. That's why there is no GPU requirement at all, and why a dual-core CPU clears the bar.
RAM is the one place to be slightly generous, and not because of the assistant. During a real interview you are typically running a video-meeting client, a browser with several tabs, possibly an IDE or a coding-assessment page, and the assistant. It's the combination that eats memory. 8 GB works; 16 GB is where the whole setup stops feeling tight.
Minimum vs recommended, side by side
| Component | Minimum | Recommended |
|---|---|---|
| Operating system | Windows 10 (64-bit) or macOS 12 | Windows 11 or macOS 14+ |
| RAM | 8 GB | 16 GB (meeting app + browser + IDE) |
| CPU | Dual-core | Quad-core or Apple Silicon |
| GPU | Not required | Not required (cloud inference) |
| Disk space | ~1 GB free | A few GB free for updates and logs |
| Audio input | Any working microphone | Headset or USB mic, low background noise |
| Audio capture | Microphone only | System-audio capture enabled |
| Internet | A few Mbps, stable | Wired Ethernet or strong 5 GHz Wi-Fi |
| Display | Single 1366×768 screen | 1080p, or a second monitor |
Microphone, audio routing, and why system audio matters
This is the requirement that actually decides whether the tool works, and it's the one nobody lists first. An interview assistant is only useful if it hears the interviewer. There are two ways an app can get that audio.
Microphone-only capture
The naive approach is to listen to your microphone and hope the interviewer's voice comes through it. That only works if their voice is playing out of your speakers loudly enough to bounce back into the mic — which means poor signal quality, echo, and a transcript full of guesses. Put on headphones and it stops working entirely, because nothing reaches the mic anymore.
System-audio capture
The right approach is to read the audio stream your computer is already playing. The app receives the interviewer's voice at the same fidelity your headphones do — clean, direct, unaffected by room noise. This is a capability native desktop apps have and browser extensions largely do not, which is a big part of why the product is built the way it is. We go deeper on that trade-off in Chrome extension vs desktop AI interview assistant.
Practical checklist for audio: pick the correct input and output devices in your meeting app before the call, use headphones to eliminate echo, avoid Bluetooth earbuds if you can (they often force a low-quality mono profile that degrades transcription), and do one test call to confirm the assistant is producing a transcript of a voice other than your own.
Internet bandwidth — the real bottleneck
Bandwidth requirements are low: a few Mbps of steady throughput is plenty, and the video call sitting next to the assistant uses considerably more. But steady is the operative word. Latency and jitter matter far more than headline speed.
A steady 10 Mbps connection will outperform a 200 Mbps connection that drops packets in bursts. Every stall interrupts the audio stream, and the delay lands exactly where you can least afford it.
If you want a rough ranking of connection quality: wired Ethernet first, a strong 5 GHz Wi-Fi signal second, a 2.4 GHz signal or a distant router third, and shared café or hotel Wi-Fi last. If you must use Wi-Fi, sit near the router and ask other people on the network to hold off on large downloads. For a full breakdown of where the seconds go, see do AI interview assistants add latency.
Displays, dual monitors, and screen sharing
A single laptop screen is workable but cramped: the meeting window, any shared document, and the assistant all compete for the same pixels. A second monitor removes that friction entirely — you keep the video call on one screen and the assistant on the other, and you stop shuffling windows mid-answer.
On screen sharing: CoPilot Interview's private window is a desktop window configured to stay out of screen-share and screen-recording capture, so sharing an application window or your full display does not place it in the feed. That is a factual description of how the window behaves, not a claim about anyone's ability to observe you — and you should always follow the policy of the employer or assessment platform you're interviewing with regarding assistive tools. Whatever your setup, test it in a practice call so you know exactly what your screen share looks like before it counts.
Troubleshooting checklist
When something isn't working, run this list in order. It's sorted by how often each item is the actual cause.
- No transcript at all? Check OS-level permissions first — microphone and screen-recording access on macOS, microphone privacy settings on Windows. Restart the app after granting.
- Only hearing yourself? System-audio capture isn't active, or your meeting app is routing output to a device the assistant isn't reading. Fix the output device selection.
- Garbled or half-missing transcript? Usually Bluetooth. Switch to wired headphones or a USB microphone and retest.
- Answers arriving slowly? Network, not hardware. Move to Ethernet or closer to the router, and stop background syncing and large downloads.
- Everything feels sluggish? Close unused browser tabs and background apps. Meeting software plus a heavy browser is what saturates an 8 GB machine.
- App won't launch or update? Confirm you're on a supported OS version and have free disk space, then reinstall the latest build.
- Still stuck? Do a full dry run on a test call with a friend. Almost every issue surfaces within two minutes of a real conversation and none of them should surface for the first time during an interview.
The takeaway
Spec requirements for an AI interview assistant are genuinely modest, and that's not a marketing line — it's a consequence of running inference in the cloud instead of on your laptop. If you own a machine from the last five years running a supported version of Windows or macOS, hardware is not your problem. Spend your preparation time on the two things that actually decide the experience: clean audio routing so the app reliably hears the interviewer, and a stable wired-or-strong connection so answers arrive when you need them. Get those right and the rest takes care of itself.
Check it against your own machine
The fastest way to confirm your setup works is to run it. Start on the free-forever plan — no trial timer, no credit card — and do a test call today.
See Pricing →FAQ
What are the system requirements for an AI interview assistant?
For CoPilot Interview you need Windows 10 or 11 (64-bit) or macOS 12 Monterey or newer, roughly 8 GB of RAM as a floor and 16 GB to be comfortable, a dual-core CPU or better, about 1 GB of free disk space, a working microphone, and a stable internet connection of a few Mbps. No dedicated GPU is required because transcription and model inference run in the cloud rather than on your machine. In practice almost any laptop bought in the last five or six years clears this bar, and the limiting factor is far more often the network than the hardware.
Do I need a powerful CPU or a GPU to run an AI interview assistant?
No. Because the speech-to-text and language-model work happens on remote servers, your computer is mainly capturing audio, sending it, and rendering the response. That is a light workload. A dual-core CPU handles it, and a discrete GPU adds nothing. What does matter is headroom: your video-meeting app, your browser, and any screen-sharing are the real consumers of CPU and RAM, so the assistant feels sluggish when the machine is already saturated, not because the assistant itself is heavy.
How much internet bandwidth does an AI interview assistant need?
Only a few Mbps of steady throughput, which is far less than the video call running next to it. Stability matters much more than raw speed. A connection that averages 100 Mbps but drops packets in bursts will feel worse than a steady 10 Mbps line, because every stall interrupts the audio stream and delays the answer. Wired Ethernet is the most reliable option, a strong 5 GHz Wi-Fi signal is a good second, and shared or congested networks are the most common cause of complaints about lag.
Why does system-audio capture matter for an AI interview assistant?
The assistant has to hear the interviewer, not just you. If a tool can only reach your microphone, it hears the interviewer's voice only after it has come out of your speakers and bounced back into the mic, which is noisy and unreliable, and it fails completely when you wear headphones. Capturing system audio means the app reads the meeting's output stream directly, so the transcript is clean whether you use headphones or speakers. This is one of the main reasons CoPilot Interview is built as a native desktop app rather than a browser extension.
Does an AI interview assistant work with two monitors or while screen sharing?
Yes, and a second monitor makes the setup considerably more comfortable because you can keep the meeting window and the assistant window physically separate. CoPilot Interview's private window is a desktop window that is configured to stay out of screen-share and screen-recording capture, so sharing a specific application window or your whole screen does not put it in the feed. That said, you should always follow the policy of the employer or platform you are interviewing with regarding assistive tools, and test your own setup in a practice call before it matters.