Live Product • AI Interview Agent

Job-targeted interview practice, researched before you speak.

AI Interview Agent starts with a live job posting, researches interview signals, builds a ranked question bank, runs a voice-first mock interview, and turns the session into practical feedback.

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Status Live

Designed for Job seekers, interview prep, role-specific practice

Current focus Preparing...

AI Interview Agent

Job extraction TinyFish research Voice interview Feedback report

Research Analyze the role and sources

Interview Practice with spoken answers

Improve Read scores and prep guidance

Product state: AI Interview Agent

Interview workflow

Job extraction to feedback is live.

Product Summary

What AI Interview Agent actually solves

Live Product

Live

Move from generic interview prep to role-specific practice.

Most mock interview tools start with generic question lists. AI Interview Agent starts with the job posting, extracts the company and role context, researches likely interview patterns, ranks the strongest questions, and evaluates the candidate's answers in a structured session.

Role-specific Question ranking Real-time evaluation Prep guidance

Job-first extracts role title, company, and job description from a posting URL

Research-backed uses targeted web intelligence before generating interview questions

Voice-ready supports spoken practice with editable transcripts before submission

Feedback loop summarizes strengths, gaps, scores, and preparation guidance

Core Features

What candidates can do with it

Research

Step 1

Start from a live job posting

Submit a role URL and let the backend extract the company, role, and job description before the practice flow begins.

Job URLMetadataFallbacks

Question Bank

Step 2

Prepare likely interview questions

Combine source research and job-description inference to create ranked questions that match the target role.

RankedTargetedFallback-aware

Voice Session

Step 3

Practice answers out loud

Use browser speech features for a voice-first interview loop, while keeping text input available for editing and accessibility.

SpeechTranscriptSession state

Feedback

Step 4

Leave with a readiness report

Get answer evaluation, overall scoring, strengths, improvement areas, and preparation guidance after the mock interview.

ScoresStrengthsPrep tips

Workflow

How the product moves from job posting to feedback

01 • Extract

Turn the posting into a job target

The system captures the role context first, with timeout handling and fallback metadata when scraping is unavailable.

02 • Research

Collect interview intelligence

Targeted queries look for company, role, and interview-source signals, then continue with partial data if individual sources fail.

03 • Practice

Run the interview session

The backend owns turn management and transcript state while the frontend presents the voice-first candidate experience.

04 • Improve

Generate the feedback report

The final report turns session answers into scores, improvement areas, strengths, and targeted prep guidance.

Explore AI Interview Agent

Open the live product when you're ready to practice for a real role.

The product page gives visitors the plain-language story before they move into the interview workflow.

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