Interview Clozo vs Interviews Chat.

A copilot in a tab has a ceiling.

The Interviews Chat Copilot is a dashboard in a browser tab. For video interviews you share the interview tab’s audio; answers appear in a different tab. That architecture has three hard consequences, all documented by the vendor or its reviewers.

• Screen share exposes it. A normal browser tab is capturable by definition. No invisibility claim exists in their docs — and their homepage recommends a phone as “a dependable fallback whenever screen sharing is required.” That is an honest admission, but it is still an admission.
• Tab audio is the only ear. The founder described the mechanism on Hacker News: “the app just connects to the meeting tab via tab sharing.” Whatever does not play through that tab does not exist for the copilot.
• You juggle under pressure. Tabs, buttons, answer modes, model choices, a credits meter — while maintaining eye contact with an interviewer.

Interview Clozo is a native macOS app. The panel floats above everything, never steals focus, is click-through capable, and is driven by global hotkeys — you never leave the interview window. Capture protection is documented macOS capture protection applied at the window level, verified live in the app, with the capability state reported honestly. It listens to your Mac’s own audio — no virtual audio device to set up — so it hears the same system audio you do, on native meeting apps and browser platforms alike. No bot joins the call.

Hearing the question is the whole product.

One hands-on reviewer could not get the Copilot to function at all: it missed the interviewer’s questions and labeled her own speech as the interviewer’s. Another praised the transcription speed. Mixed reports are what you get when question segmentation is a detail — and Interviews Chat’s segmentation logic is not publicly documented at all.

Interview Clozo treats question detection as the core engineering problem, because real interviewers do not speak in clean, single-utterance questions:

• Fragmented questions refine, not corrupt. The interviewer pauses mid-sentence, restarts, adds a constraint three segments later. Every question revision commits with an immutable context snapshot, so partial questions build on each other instead of poisoning the answer.
• Rapid-fire gets a card per question. A follow-up arrives before the previous answer finishes? It gets its own card — the Short Answer first, the other panes right behind it — and a newer question supersedes stale work without cancelling unrelated work.
• Stale results are kept off your screen. Transcription events can arrive out of order. A stale answer from the previous question can never reach your screen once a newer question has superseded it.
• Full-interview memory. Answers draw on the whole transcript, earlier Q&A, your screenshots, and your resume — not just the last utterance.

This domain core is what keeps the answers in order mid-round. It is the difference between a transcription box wired to a chat API and a purpose-built interview intelligence system.

Mid-interview is not the time to manage software.

Interviews Chat asks you to pick models, pick answer formats, click to regenerate, and — on Starter — watch a credits meter where every Copilot minute and every suggestion drains your 1,000 monthly credits. Setup is a manual copy-paste of your full resume and job description, a step one reviewer called “tiring and outdated.”

Interview Clozo is engineered around the fact that your attention belongs to the interviewer:

• Global hotkeys, not tab switching. Jump back to a previous question and forward again while new questions keep arriving — without touching the interview window.
• Content Panes you define. Customize the panes, set natural-language visibility rules, control the prompts, attach your candidate context once — before the call, not during it.
• Eyes when you need them. Screenshot a coding problem, diagram, or whiteboard alongside the spoken question (paid plans) — no separate extension pointed at a shared tab.
• A trial that runs the real product. Three full interviews with real AI generations — not a 30-credit teaser where the metering starts immediately.