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Design a ChatGPT Playground

Last updated: May 19, 2026

Quick Overview

This question evaluates a candidate's competence in designing scalable, reliable web applications with emphasis on real-time front-end interactions, API design, data modeling for presets, state management for streaming responses, and operational concerns like fault tolerance, observability, latency, and retries.

  • medium
  • OpenAI
  • System Design
  • Frontend Engineer

Design a ChatGPT Playground

Company: OpenAI

Role: Frontend Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

Design a web-based AI playground similar to a prompt-testing console. The product lets users enter prompts, choose model parameters, save and reuse presets, and view generated responses. Discuss both front-end and back-end design. Your design should cover: - Core user flows for entering a prompt and receiving a generated response. - Model parameters such as model choice, temperature, maximum output length, and other generation settings. - Presets that let users save, load, update, and share reusable configurations. - Front-end state management and streaming response rendering. - Back-end APIs and data models. - How to handle server failures, model-service failures, timeouts, partial responses, and retries. - Observability, scalability, latency, and reliability considerations.

Quick Answer: This question evaluates a candidate's competence in designing scalable, reliable web applications with emphasis on real-time front-end interactions, API design, data modeling for presets, state management for streaming responses, and operational concerns like fault tolerance, observability, latency, and retries.

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OpenAI logo
OpenAI
Apr 25, 2026, 12:00 AM
Frontend Engineer
Technical Screen
System Design
0
0

Design a web-based AI playground similar to a prompt-testing console.

The product lets users enter prompts, choose model parameters, save and reuse presets, and view generated responses. Discuss both front-end and back-end design.

Your design should cover:

  • Core user flows for entering a prompt and receiving a generated response.
  • Model parameters such as model choice, temperature, maximum output length, and other generation settings.
  • Presets that let users save, load, update, and share reusable configurations.
  • Front-end state management and streaming response rendering.
  • Back-end APIs and data models.
  • How to handle server failures, model-service failures, timeouts, partial responses, and retries.
  • Observability, scalability, latency, and reliability considerations.

Solution

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