A multiplayer prompt-engineering escape room that turns clearer instructions, constraints, iteration, and creativity into a playable team challenge.

The workflow before the build

Prompting concepts can stay abstract when learners only read examples instead of working through a shared problem with constraints, feedback, and room to iterate.

What the public project delivers

The public project delivers a TypeScript and Express escape-room game with solo, cooperative, and versus modes, deterministic prompt scoring, hints, and themed challenges.

  • Packages prompt-engineering concepts as a multiplayer game.
  • Uses clues and constraints to reward clearer instructions and iteration.
  • Supports team play and discussion rather than an isolated tutorial.
  • Uses keyword, synonym, and heuristic scoring rather than an external AI evaluation API.

The value case, stated honestly

The experience is designed to make prompt quality discussable and memorable through practice, comparison, and team reflection.

Evidence label: Designed value: an experiential way for teams to practice clearer prompts, constraints, iteration, and collaborative problem solving.

Architecture in one view

A team challenge leads to a prompt attempt, game feedback, and team reflection before another iteration.

Prompt Escape architecture A team challenge leads to a prompt attempt, game feedback, and team reflection before another iteration. 01 Team challenge 02 Prompt attempt 03 Game response 04 Team reflection
01 / Team challenge

Players enter a shared scenario with a goal, clues, and constraints.

02 / Prompt attempt

The team writes and refines instructions for the challenge.

03 / Game response

The application returns challenge feedback and progression state.

04 / Team reflection

Players compare approaches and decide how to improve the next attempt.

Human control and guardrails

  • The game is a learning experience, not a benchmark of a person or model.
  • Facilitators should avoid entering sensitive, personal, or proprietary information into prompts.
  • AI responses are part of the challenge and should be treated as fallible output.

Where the pattern stops

  • The WorkIQ hint service currently returns mock responses rather than making live MCP calls.
  • The experience does not measure durable skill improvement or workplace outcomes.
  • The repository-listed hosted site returned HTTP 403 during verification, so current public hosting is not established.

Explore the public proof