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Design a prompt playground

Last updated: May 30, 2026

Quick Overview

This question evaluates a candidate's competency in large-scale system design, real-time streaming and prompt execution, multi-tenant data modeling, versioning and collaboration workflows, security and privacy controls, observability and cost tracking, and abuse prevention.

  • hard
  • Anthropic
  • System Design
  • Software Engineer

Design a prompt playground

Company: Anthropic

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Onsite

Design a prompt playground for developers and prompt engineers. The product lets users write prompts, choose model settings, run prompts against AI models, stream results, save prompt versions, compare outputs, collaborate with teammates, and inspect cost, latency, and safety issues. Assume the following scale unless you state different assumptions: - 100,000 monthly active users. - 1 million prompt runs per day. - Some runs stream tokens back to the browser in real time. - Users belong to workspaces or organizations. - Prompt content and model outputs may contain sensitive data. Cover: 1. Core user flows and requirements. 2. APIs and data model. 3. High-level architecture. 4. How prompt execution, streaming, retries, and cancellation work. 5. Versioning, collaboration, and run history. 6. Security, privacy, rate limiting, and abuse prevention. 7. Observability, cost tracking, and scalability tradeoffs.

Quick Answer: This question evaluates a candidate's competency in large-scale system design, real-time streaming and prompt execution, multi-tenant data modeling, versioning and collaboration workflows, security and privacy controls, observability and cost tracking, and abuse prevention.

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Anthropic logo
Anthropic
May 24, 2026, 12:00 AM
Software Engineer
Onsite
System Design
6
0

Design a prompt playground for developers and prompt engineers.

The product lets users write prompts, choose model settings, run prompts against AI models, stream results, save prompt versions, compare outputs, collaborate with teammates, and inspect cost, latency, and safety issues.

Assume the following scale unless you state different assumptions:

  • 100,000 monthly active users.
  • 1 million prompt runs per day.
  • Some runs stream tokens back to the browser in real time.
  • Users belong to workspaces or organizations.
  • Prompt content and model outputs may contain sensitive data.

Cover:

  1. Core user flows and requirements.
  2. APIs and data model.
  3. High-level architecture.
  4. How prompt execution, streaming, retries, and cancellation work.
  5. Versioning, collaboration, and run history.
  6. Security, privacy, rate limiting, and abuse prevention.
  7. Observability, cost tracking, and scalability tradeoffs.

Solution

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