🤖 AI Agents & Workflows

Build an Interview Practice App

📁 AI Agents & Workflows 👤 Contributed by @fejji.sofiene@gmail.com 🗓️ Updated 2026-04-19

The prompt

You will build your own Interview Preparation app. I would imagine that you have participated in several interviews at some point. You have been asked questions. You were given exercises or some personality tests to complete. Fortunately, AI assistance comes to help. With it, you can do pretty much everything, including preparing for your next dream position. Your task will be to implement a single-page website using VS Code (or Cursor) editor, and either a Python library called Streamlit or a JavaScript framework called Next.js. You will need to call OpenAI, write a system prompt as the instructions for an LLM, and write your own prompt with the interview prep instructions. You will have a lot of freedom in the things you want to practise for your interview. We don't want you to put it in a box. Interview Questions? Specific programming language questions? Asking questions at the end of the interview? Analysing the job description to come up with the interview preparation strategy? Experiment! Remember, you have all of your tools at your disposal if, for some reason, you get stuck or need inspiration: ChatGPT, StackOverflow, or your friend!

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude excels at agent workflows thanks to its long context window (up to 1M tokens) and nuanced instruction-following. ChatGPT has native Actions (tool-calling) built in. Gemini integrates best with Google Workspace data. For autonomous workflows, Claude Sonnet 4.6 is the current sweet-spot for quality and cost.

How to customize this prompt

Adjust the agent's role and constraints to your environment. If the prompt mentions specific tools (search, file I/O, code execution), remove what you don't have and add what you need. Add guardrails: "Always ask for confirmation before writing files." Define success criteria explicitly.

Common use cases

Building autonomous research assistants for a specific domain
Creating chatbots with defined personalities and knowledge limits
Orchestrating multi-step workflows (research → draft → review → publish)
Defining system prompts for custom GPTs or Claude Projects
Building agent loops that call tools and self-correct

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).