What

Interview Copilot is an AI‑driven, desktop‑overlay assistant that provides real‑time answer suggestions during live behavioral, technical, coding, and system‑design interviews. It targets job seekers who need discreet, context‑aware guidance while using common video‑conferencing and coding assessment platforms.

Features

Private desktop overlay – Runs locally and displays suggestions only to the user, keeping the workflow invisible to interview participants.
Context‑aware answer generation – Uses the candidate’s resume, target role, and the live question to produce concise response outlines.
Multi‑platform support – Works with Zoom, Google Meet, Microsoft Teams, Lark, Webex, HackerRank, CodeSignal, and CoderPad without altering the standard interview flow.
Real‑time coding assistance – Offers algorithm hints, debugging tips, and explanation prompts during live coding sessions.
Dynamic model routing – Selects from mainstream AI models (e.g., GPT, Claude, Gemini) to balance response speed and quality under interview pressure.

Helpful Tips

Provide an up‑to‑date resume and specify the target role before the interview to maximize personalization of suggestions.
Test the overlay on the intended platform in a rehearsal session to confirm that the overlay remains outside screen‑share capture.
Use the tool as a prompt generator rather than a full answer source to maintain authenticity and avoid over‑reliance.
Verify that the use of real‑time AI assistance complies with the interview policies of the hiring organization.

OpenClaw Skills

Within the OpenClaw ecosystem, Interview Copilot could be accessed through a “Real‑Time Interview Support” skill that invokes the desktop overlay via a secure local agent. A workflow might combine OpenClaw’s credential management (to supply resume data) with the Copilot’s answer generation, enabling agents to fetch contextual prompts during a live interview and log the interaction for post‑interview analysis. Such integration would streamline preparation for recruiters and candidates by embedding AI assistance directly into existing OpenClaw‑driven interview pipelines, potentially reducing interview anxiety and improving response structure.