How I prep for technical interviews with a real-time AI interview assistant

Technical interviews are stressful, and the hardest part for me was never the knowledge itself. It was recalling the right example under pressure. Here is the prep routine I settled on after a few rounds of trial and error.

Before touching any coding problems, I wrote down six to eight projects from my resume. For each one I noted the problem, my specific role, the decision I made, and the measurable result. Almost every behavioral question maps back to one of these stories.

Reading solutions feels productive but it isn't. I started doing timed mock interviews where I had to explain my reasoning verbally: restate the problem, talk through trade-offs, then code. Recording yourself is uncomfortable but reveals filler words and rambling quickly.

Tools like Sensei AI act as a real-time interview assistant. It listens to the question and suggests answers based on your resume, and it covers behavioral, technical and coding interviews. It works with Zoom, Google Meet and Teams, and it has a mock interview mode and a free tier. I mostly used the mock practice to see how a strong answer is structured, then reworked the suggestions into my own words. Check each company's interview rules before using any tool in a live setting.

After each mock or real interview, I wrote three notes: what went well, where I got stuck, and one thing to practice next. Patterns showed up fast. Mine were skipping clarifying questions and not stating time complexity.

Good interviews are two-way. I always prepared three questions about team practices, on-call, and how success is measured in the first six months.

Consistency beats cramming. Thirty focused minutes a day for two weeks did more for me than a weekend marathon. Build the story bank, practice aloud, review honestly, and use whatever tools help you get better rather than lean on them blindly.

What does your interview prep look like? Share your tips in the comments.