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What is AskCc?
AskCc is a desktop AI interview agent for job seekers. It combines a resume, job description, personal knowledge base, and project skill cards to support interview preparation and real-time response assistance, making it relevant for candidates preparing for internship, campus, or experienced-hire interviews, including project-heavy roles in technology and finance.
Before an interview, users can organize resumes, job descriptions, project materials, and question banks, then confirm additional project facts through preparation conversations to build reusable skill records. During an interview, AskCc displays assistance in a desktop floating window and generates response suggestions from the prepared context after identifying the interviewer’s question; screenshots can also be used to analyze written, coding, or case questions and break them into steps.
Key features of AskCc
Interview Profiles and Skill Cards
An interview profile brings together the current resume, job description, selected knowledge sources, and confirmed project skill cards, then uses a preparation snapshot for the interview session. Skill cards organize project context, responsibilities, decisions, results, and likely follow-up angles for candidates who need answers grounded in their own experience.
Context-Based Interview Responses
The interview response assistant uses the confirmed resume, job description, project materials, and skill cards to understand the interviewer’s stated question before generating a response suggestion grounded in the candidate’s experience. It can adjust its direction as follow-up questions, interruptions, or topic changes occur, making it suited to continuous conversations in online voice interviews.
Screenshot-Based Problem Solving
For written tests, coding assessments, algorithm questions, or case problems, users can submit a screenshot of the question to the screenshot assistant. AskCc identifies the problem and breaks the solution into reasoning steps, with code suggestions where applicable, for situations that require a quick way to understand the task structure and review the approach.
Desktop Overlay for Video Meetings
AskCc presents response suggestions in a desktop floating layer, reducing the need to switch between webpages or applications during an online interview. The official site lists video-meeting scenarios including Tencent Meeting, Zoom, Microsoft Teams, Google Meet, Feishu Meetings, DingTalk Meetings, WeCom Meetings, and Cisco Webex, making the format relevant to candidates interviewing remotely through these platforms.