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Design a prompt playground

Last updated: May 1, 2026

Quick Overview

This question evaluates a candidate's competency in ML system and product design, covering prompt engineering, prompt/version and experiment management, evaluation strategies, collaboration features, UX/workflow design, and approaches for handling context-window limitations.

  • medium
  • Anthropic
  • ML System Design
  • Software Engineer

Design a prompt playground

Company: Anthropic

Role: Software Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Onsite

Design a prompt playground for working with large language models. Users should be able to write prompts, run them against one or more models, compare outputs, iterate quickly, and collaborate with others. The discussion should emphasize product workflow and UX rather than only drawing backend boxes. Cover prompt versioning, experiment management, evaluation, and how to handle prompts or reference context that may be too large for the model context window.

Quick Answer: This question evaluates a candidate's competency in ML system and product design, covering prompt engineering, prompt/version and experiment management, evaluation strategies, collaboration features, UX/workflow design, and approaches for handling context-window limitations.

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Anthropic logo
Anthropic
Feb 28, 2026, 12:00 AM
Software Engineer
Onsite
ML System Design
25
0
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Design a prompt playground for working with large language models. Users should be able to write prompts, run them against one or more models, compare outputs, iterate quickly, and collaborate with others. The discussion should emphasize product workflow and UX rather than only drawing backend boxes. Cover prompt versioning, experiment management, evaluation, and how to handle prompts or reference context that may be too large for the model context window.

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