Fable 5.1 World Modeling

📝 Discussion Summary (Click to expand)

Three prevalent themes in the discussion

Excitement about what AI‑generated 3D worlds enable
“surreal_: yes we're working on it! trying to push a few open world rpg games with real economy and game design.”
“Willish42: I wonder if people will start building open world games or 'AR' games in the vein of Pokemon Go and Ingress based on similar tech.”
Concern over the computational cost and time required
“surreal_: ~2 hour (extensive subagents usage), total ~8M tokens, ~$33 under API.”
“avdelazeri: I wish you would provide more information. About time, costs, reliability (how many duds did you have? did you need to do any babysitting …) …”
Skepticism about practical utility beyond demos
“ramesh31: Cool. But the question remains, what is the point of this? … it's not really anything that interesting or useful in and of itself.”
“julien_dev: These things always look impressive but I fail to see how they are usable beyond demos or simple games.”

🚀 Project Ideas

Converts OpenStreetMap + USGS elevation data into low-poly, texture‑ready Three.js/GLTF scenes using LLMs to generate parametric models, eliminating manual modeling.
Core value: drastically reduces time and token cost for hobbyists/game devs to create realistic city‑scale worlds from open data.

Key	Value
Target Audience	Indie game developers, XR creators, GIS hobbyists
Core Feature	One-click OSM import → AI‑generated optimized mesh + procedural materials
Tech Stack	Node.js, Three.js, Python (OSMnx, GDAL), LLM API (e.g., GPT‑4o‑mini), WebGPU for preview
Difficulty	Medium
Monetization	Revenue-ready: subscription ($10/mo for premium generations)

HN users praised the idea of turning OSM data into 3D worlds with less manual work (“saves on time, especially if Fable just writes code to convert OSM data to a reasonable ThreeJS model”).
Enables rapid prototyping for AR games like Pokémon Go and could spark discussion on procedural city generation benchmarks.

Web‑based IDE where users write natural‑language prompts to generate 3D worlds via AI agents, with built‑in sub‑agent orchestration, token usage dashboard, and version control.
Core value: makes expensive AI world generation transparent, controllable, and collaborative, reducing wasted tokens and enabling iteration.

Key	Value
Target Audience	AI researchers, prompt engineers, hobbyist world builders
Core Feature	Prompt editor + live Three.js preview + cost meter + sub‑agent logs
Tech Stack	React, Monaco Editor, Socket.io for real‑time preview, Node.js backend, LLM APIs, WebGL/Three.js
Difficulty	Medium
Monetization	Revenue-ready: tiered pricing based on compute minutes (e.g., $0.001 per 1k tokens)

Commenters asked for more info on time, costs, reliability and wanted tutorials (“I wish you would provide more information. About time, costs, reliability…”).
Provides exactly that transparency and could become a hub for sharing prompt templates, fostering discussion on prompt engineering for 3D.

SDK and backend service that takes an OSM bounding box, streams an AI‑generated 3D city (optimized for mobile), and lets developers attach location‑based gameplay mechanics (quests, AR NPCs, events) via simple APIs.
Core value: enables rapid creation of location‑based AR games like Pokémon Go without building 3D assets from scratch, lowering barrier for indie creators.

Key	Value
Target Audience	Mobile game developers, AR studios, indie creators
Core Feature	AI‑generated low‑poly city tiles + AR placement API (Unity/Unreal/Three.js)
Tech Stack	Unity/Unreal plugins, Node.js microservice for OSM→AI world (using Fable/LLM), ARCore/ARKit, Cloudflare Workers for tile caching
Difficulty	High
Monetization	Revenue-ready: revenue share on game sales or pay‑per‑tile download ($0.01 per km²)

HN users expressed interest in building open world games or AR games based on similar tech (“I wonder if people will start building open world games or 'AR' games in the vein of Pokemon Go and Ingress based on similar tech”).
The tool would satisfy that desire and invite discussion on blending procedural worlds with game design, potentially spawning new AR experiences.