AI Mock Interview
AI Mock Interview — practice the way the real loop runs.
Two specialized mock agents that adapt to your level. One runs behavioral / story-discovery; the other runs system-design. Both listen, transcribe, and coach — type or talk.
Two specialized mock agents
Story-discovery mock
The agent probes your stories the way a senior interviewer would — pushing on scope, decision rationale, and outcome. Builds your STAR-R muscle.
System-design mock
Asks a real design question, follows up like a staff engineer would, and scores against the exact rubric your loop will use.
How it works
Pick a mock type
Story-discovery (behavioral / leadership) or system-design. The agent loads the rubric your level expects.
Talk or type
Browser-based speech-to-text lets you actually speak the answer; the agent transcribes and probes follow-ups like a real interviewer.
Get coached
Inline feedback against the rubric, with concrete suggestions you can apply to the real loop tomorrow.
Job-search agents that are always on. You focus on what actually matters: preparing for and taking interviews.