Artifact 2 · AI-powered coaching

JobPrep AI

An AI assistant that turns interview anxiety into a personalized study plan — in seconds, not hours.

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JobPrep AI conversation flow — person chatting with AI assistant

Interview Prep
Is Broken

It's stressful, scattered, and generic. Candidates spend hours searching for the right questions, never sure if they're studying the right things. Most prep content isn't tailored to the specific role — it's the same list of "top 50 questions" regardless of whether you're interviewing for embedded systems or product management.

Structuring clear, confident answers takes real repetition, but there's no feedback loop. You practice alone, guess at what's important, and hope for the best.

Resume transformed into interview prep through AI processing

Personalized Prep,
Generated Instantly

Tell it the role. It builds a complete prep strategy — targeted questions, answer frameworks, and a study schedule — all in one conversation. Technical questions based on the specific role, behavioral prompts with STAR framework guidance, and a day-by-day study plan.

It adapts to any role in real time. An embedded systems interview gets memory management and interrupt questions. A data science interview gets statistics and ML pipeline questions. Same tool, completely different output.

You I have an embedded systems interview next week. Help me prepare.
JobPrep AI
  • Key topics: memory management, interrupts, drivers, debugging
  • 5 likely technical questions with answer outlines
  • 3 behavioral questions with STAR framework
  • Day-by-day study plan for the week

Three Steps. No Signup.

1

Share the Role

Tell it the job, company, or interview type

2

Get a Plan

Receive topics, questions, and prep guidance

3

Practice

Iterate on answers until you're confident

One prompt turns a raw language model into a personal interview coach.

From anxiety to action in under a minute.

About This Project

Introduction A custom GPT that turns interview prep from stressful guesswork into a guided, personalized experience — role-specific questions, study plans, and answer frameworks in seconds. Description Takes a job title as input and generates targeted technical questions, behavioral prompts with STAR framework, and a day-by-day study plan. Objective Build a practical AI tool for personalized, role-specific interview preparation. Process Designed prompt architecture, tested across multiple roles (embedded systems, SWE, data science), refined until outputs felt like real coaching. Tools OpenAI GPT, prompt engineering, iterative testing. Value Shows how careful prompt design turns a raw language model into a user-focused product. Unique Value Adapts to any role in real time — doesn't just list questions, builds a complete prep strategy with topics, frameworks, and schedule. Relevance Applied prompt engineering is a core skill for building AI products. This shows the full cycle from concept to working tool. References OpenAI GPT documentation. AIML-500, Indiana Wesleyan University.