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Build an interview preparation app v1.0.0

Use this resource to build an interview preparation app with an LLM

New

  • 561 downloads
  • 156 likes
  • 99 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install interview-practice-app-project

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt sets a learning project: a single page built with Streamlit or Next.js, a call to the OpenAI API, a system prompt and an interview-prep prompt. Topics are open: interview questions, programming languages, analysis of a job posting.

Mostly picked by

Updated November 2, 2026

Card for the “Build an interview preparation app” prompt

Details

Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The full prompt, ready to paste
  • A choice of stack: Streamlit or Next.js
  • An open brief, to adapt to your goals

Good fit for

  • Learning to call an AI model inside an app
  • Preparing yourself for an interview in a specific field

Not for

    Tags

    • interview
    • llm
    • project

    About

    You say

    “Make a Streamlit app that simulates a junior web developer interview.”

    Card for the “Build an interview preparation app” prompt

    Prompt published by fejji.sofiene@gmail.com under the CC0-1.0 license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your assistant or agent
    2. Ask it to build an interview preparation app with an LLM
    3. Review and adjust the result

    Content preview

    Files

    • interview-practice-app-project.md1.1 KB
    • LICENSE0.6 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    fejji.sofiene@gmail.com
    Source
    github.com/f/prompts.chat/blob/cecef6fc73c2c389770695a56252d331981727de/prompts.csv
    Licence
    CC0-1.0

    Notice

    « Build an Interview Practice App » (fejji.sofiene@gmail.com, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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