Context
A résumé and job description become one interview profile.
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AI implementation case study · Functional demo
An AI interview workflow that turns practice into a clear next step.
PrepMe combines live conversation, structured interview evidence, rubric-based feedback, and targeted workshops. Each stage passes context into the next, helping candidates move from an interview answer to focused practice.
Scope
Self-directed demo of one complete HR-screen workflow. Use your own résumé and real job details, or explore the provided fictional sample.
5Connected stages
6HR signals
27 / 27Local automated tests · Sep 6, 2026
System flow
Where AI fits in the product.
Interview
OpenAI Realtime runs the HR screen through voice or text.
Transcript
The conversation becomes structured question-and-answer turns.
Evaluation
A grading task checks six explicit HR-screen signals.
Coaching
Weak signals route to the matching interactive workshop.
AISoftwareAI with human control
Responsibility
AI, software, and human control.
Realtime conversation, rubric grading, feedback synthesis, and coaching suggestions.
Context assembly, transcript structure, task routing, state, validation, and workshop mapping.
The candidate controls the information they provide, whether to continue, and how they use the feedback. PrepMe does not make a hiring decision.
Implementation choices
The decisions behind the demo.
Task-based routing
Interviewing, transcription, grading, reporting, and coaching use a central task registry. The product can change one capability without scattering model choices across the application.
Structured contracts
Grading and coaching responses are parsed and schema checked before the interface can use them. A malformed response fails cleanly instead of rendering a partial result.
From evidence to a next step
Feedback carries source questions and answer excerpts into targeted workshops. Candidates can revisit the answer behind a weakness and practice the relevant skill.
Make the workflow easy to try
Typed replies provide another way to participate. A completed fictional sample lets visitors explore feedback and workshops before committing to a live interview.
Preserve progress through practice
Demo session feedback and workshop completion persist in browser storage, so candidates can move between feedback and practice without losing their place.
Handle insufficient evidence explicitly
Sessions with insufficient interview evidence bypass model grading and follow a defined practice path. The workflow distinguishes missing evidence from a substantive interview.