Hi HN,I built Language1 (https://language1.app), a word game where you play reverse Taboo against an LLM.How it works: You are given a target word (e.g., Apple ) and a list of forbidden taboo words (e.g., fruit , red , tree ). Your goal is to write a prompt that guides the LLM to output the exact target word, without using any of the forbidden words.The Benchmark Goal: I am developing this project with the plan of using the gameplay data to build a benchmark dataset. The goal is to test and evaluate LLM capabilities when processing unclear prompts, metaphors, analogies, and vague explanations under semantic constraints.Game Modes:Single Player: Play through a pool of challenges to test your prompt precision. You compete against other players globally across attempts, solve time, and token consumption (measured via standard cl100k_base encoding). You can play instantly without registering, or sign in (one-click Google login) to submit scores to the leaderboards. Multiplayer Races: Real-time lobbies of up to 10 players racing through 3 rounds. Note: Since the game is new, public lobbies might be empty at first, but you can create private lobbies to play with friends. Available Models:Anonymous users play with the default Gemma 3 Instruct model. Free registered users can choose between multiple models to test and compare reasoning styles, including Llama 3 8B, Liquid LFM 24B, Amazon Nova Micro, and Ministral 8B.The Tech Guardrails: The app is built with a React frontend and a Node.js/AWS Lambda backend. To keep things fair, we built a validation guard that parses input clues to block easy bypasses like letter-spacing (e.g., A-P-P-L-E ), translations, cyphers, and base64. You have to rely purely on semantic reasoning to guide the model.The game is completely free, has no ads, and is playable instantly in the browser.I d love to hear your thoughts on the gameplay and see what creative semantic tricks you use to guide the LLM!