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# Building a fully automated escape room

An engineer built an automated, IoT-driven escape room using webhooks and an AI hint module. Discover why stopping prompt injections proved easier than solving the physical reset problem.

- **Speakers:** Tomas Vaškevičius
- **Event:** World Congress 2023
- **Published:** October 6, 2023
- **Duration:** 22:33
- **URL:** https://www.wearedevelopers.com/videos/735-building-a-fully-automated-escape-room

## Summary

Inspired by the thrill of Indiana Jones and the mechanical friction of managing commercial escape rooms, a software developer sets out to build a fully automated, standalone puzzle experience. The goal is to eliminate manual room resets, streamline booking processes, and create dynamic single-player gameplay without needing a human game master to intervene or hand out clues.

The system architecture splits into an online reservation pipeline and an offline-capable physical game engine. To manage costs, the developer engineered a clever webhook bypass using free Calendly registration forms that trigger Google Calendar events, routing seamlessly into a custom reservation service. The local game center acts as an IoT gateway, relying on heartbeat checks and session updates to trigger Grafana alerts if hardware malfunctions. From there, an admin backdoor enables 'fix it Felix' manual overrides for broken logic. The core puzzle loop relies on physical entry points like sensors communicating via API POST and PUT requests to software controllers, which validate success and trigger physical state changes like opening doors.

A heavily experimental component is the AI-driven hint module, which utilizes OpenAI's GPT-3.5 API and audio transcription to ingest player speech and return contextualized clues. Developers must meticulously engineer prompts and fine-tune models to prevent clever players from extracting straight answers via prompt injection vulnerabilities. Ultimately, while AI removes the need for a human clue-giver, dealing with physical prop resets—such as enforcing 'return to origin' rules where players must put items back to trigger the next phase—remains a costly mechanical hurdle, proving that sometimes a traditional padlock outshines fragile automated complexity.

**Keywords:** automated escape room design, physical puzzle architecture, webhook integration workarounds, offline game engine logic, Grafana hardware alerting, API-driven sensor controllers, GPT-generated puzzle hints, AI audio transcription, prompt injection vulnerabilities, prop reset mechanics, IoT gateway management, API validation loops

## Chapters

1. **Introduction to escape rooms and automation** (00:04) — Why a developer's interest in escape rooms led to an attempt to automate them completely.
1. **Business and player problems in escape rooms** (03:31) — Analyzing the operational and accessibility challenges that motivate full physical puzzle room automation.
1. **High-level automation architecture and system flow** (07:03) — Moving from online registration and reservation events through to local game center interaction gateways.
1. **Using webhooks for low-cost reservation pipelines** (08:48) — How free integrations between booking forms and calendar webhooks bypass premium event management fees.
1. **Managing local game states and alerts** (10:32) — Coordinating physical access, component engine updates, and administrative alerts during an active game session.
1. **Inside the physical game engine modules** (11:43) — Breaking down the core software components that drive physical sensors, sessions, and automated heartbeats.
1. **Validating physical puzzle interactions via APIs** (13:48) — Designing the application request and response flow between hardware entry points and controller routines.
1. **Implementing interactive audio hint processing systems** (15:10) — Handling vocal clues by transcribing player microphone inputs and delivering synthesized audio speech files.
1. **Generating dynamic puzzle hints with AI** (16:42) — Leveraging language model APIs to calculate and issue descriptive hints without ruining exact answers.
1. **Hardware risks and managing physical props** (18:38) — Maintaining reliable offline access and engineering tracking mechanical solutions for scattered interactive physical objects.
1. **Assessing the viability of full automation** (21:30) — Weighing the mounting development costs and technical vulnerabilities of entirely removing human gamekeeper operations.

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- [Frustrations with modern puzzles and conversational text box interfaces](https://www.wearedevelopers.com/videos/100255-design-patterns-for-ai-products-in-2026) (from "Design Patterns For AI Products in 2026")

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