{
  "id": 13772562,
  "title": "I built an outdoor game that uses AI to get you off your phone",
  "url": "https://urgent.news/2026/10/11/i-built-an-outdoor-game-that-uses-ai-to-get-you-off-your-phone",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-11T18:33:56.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/notnirav/i-built-an-outdoor-game-that-uses-ai-to-get-you-off-your-phone-35kk"
  },
  "original_language": "en",
  "account": "Here is my account of the story in my own words:\n\nGrassQuest is an outdoor exploration game that uses artificial intelligence to turn the player's real surroundings into quests. Rather than competing for the player's attention, the app aims to get people to put their phones away and spend time exploring the outdoors.\n\nThe game uses local weather data, sunrise/sunset times, and information about nearby outdoor features to generate quests that are relevant to the player's current environment. For example, if a pond is present nearby, a quest requiring a pond will appear. Severe weather will trigger easier quests to protect the player's progress.\n\nGrassQuest presents three quest options - an \"Easy Win,\" a \"Sweet Spot\" with a 65% completion probability, or a \"Stretch\" quest that's more challenging. The difficulty is estimated based on factors like weather, time of day, effort required, distance to features, and the player's past performance.\n\nOnce a quest is accepted, an audio briefing from the game's narrator, The Ranger, is delivered. The Ranger provides context appropriate to the weather and quest, then the player puts their phone away and begins the adventure. When they return, they submit a photo as proof.\n\nGrassQuest verifies the photo locally using the open-source Gemma 4 Vision model running on the player's computer through Ollama. It can confirm a successful attempt, award partial points for a near miss, or give feedback for an unsuccessful attempt. Identifiable elements in the photo like plants, trees, animals, insects and weather conditions are also identified.\n\nCompleting a quest awards experience points that level up the player, \"seeds\" that can be spent on game upgrades, and a record of discoveries that grows the player's Field Guide over time. Badges and leaderboards add competition. The game is built open-source so anyone can run their own instance to keep personal data private.\n\nGrassQuest was built for the DEV Hacktoberfest Open-Source AI Challenge and aims to give people a reason to get outside and explore the world around them, rather than just pass time on their phones.",
  "summary": "This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What if an app's most important feature was knowing when to get out of your way? Most apps compete for your attention. They want you to open them more often, spend more time inside them, and come back tomorrow. For this challenge, I wanted to build something with the opposite goal. I built GrassQuest , an…",
  "key_points": [
    "GrassQuest is an outdoor exploration game using AI to generate environment-specific quests.",
    "The app aims to encourage players to put phones away and spend time exploring outdoors."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}