# TouchGrass AI: Local Gemma 2B Micro-Adventure Generator > Source: > Published: 2026-10-10 08:02:15+00:00 *This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass](https://dev.to/challenges/hacktoberfest-week1-2026-10-05)* **TouchGrass AI** is a lightweight, offline-first web application that generates hyper-local, 3-step micro-adventures. The goal is simple: make the screen the shortest part of the experience. You select your current environment (e.g., a local park, city center, or quiet neighborhood) and the time you have available. The app instantly generates a unique real-world observation quest. Instead of scrolling, you get specific physical tasks-like finding a distinct architectural feature, observing specific colors in nature, or completing a walking challenge. You lock your device, put it in your pocket, and actually interact with the physical world around you. `gemma2:2b` running locally via The core challenge was taming a lightweight 2B model to generate realistic, physical tasks instead of fictional role-playing narratives (initially, it tried to send me on a detective quest to investigate a fictional neighbor). By enforcing a rigid JSON schema in the C# backend and explicitly restricting the prompt from inventing fictional characters, the API reliably outputs highly contextual, real-world tasks formatted as clean JSON arrays. Building this with an open-source model was mandatory for the core concept to work: