FeaturedAI ToolPrivate
AI App Idea Engine — Daily Mobile App & Game Ideas
An automated engine that generates a fresh, structured mobile app and game idea every day using Gemini 3.1 Pro, orchestrated by n8n and logged to Google Sheets through a templated prompt system.
Private project — source code is not publicly available.
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Project Overview
AI App Idea Engine is a lightweight automation that produces a new, viable mobile app or game concept every single day. It pairs Google Gemini 3.1 Pro with a curated, versioned prompt library and pushes structured output into Google Sheets through scheduled n8n workflows. The goal is to never start from a blank page: a steadily growing, structured database of product ideas generated hands-free.
Technologies & Tools
PythonGoogle Gemini 3.1 Pron8nGoogle Sheets APIPrompt EngineeringAutomation
Key Features
Generates a new, structured app or game idea every day
Powered by Google Gemini 3.1 Pro with a curated, versioned prompt library
n8n workflows schedule generation and route results automatically
Google Sheets as a zero-friction idea database with schema-migration scripts
Configurable prompt templates and idea categories
Fully automated, hands-off daily pipeline
AI App Idea Engine turns ideation into infrastructure. Instead of brainstorming on demand, it runs a scheduled pipeline that asks Google Gemini 3.1 Pro for a fresh mobile app or game concept each day, using a curated and versioned prompt library so the output stays structured and useful rather than generic. Each generated idea is parsed into a consistent record and written to Google Sheets, which acts as a zero-friction idea database — complete with setup and schema-migration scripts so the structure can evolve without losing history. n8n handles scheduling and routing, making the whole loop fully autonomous. It is a small but complete example of applied LLM automation: a clear prompt system, a capable model, an orchestration layer, and a durable data store, wired together into a hands-off daily product-idea generator.
Technical Deep Dive
Generation Pipeline
A Python entry point combined with a curated prompt library feeds Google Gemini 3.1 Pro, and the model's response is parsed into a consistent, structured idea record ready for storage.
Orchestration
n8n workflows trigger the generator on a schedule and handle routing and delivery, so the pipeline runs autonomously without manual intervention.
Data Layer
Google Sheets integration — backed by setup and migration scripts — stores every idea with a stable schema, turning a spreadsheet into a durable, append-only idea database.
Technology Stack
Python for the generator, Google Gemini 3.1 Pro for generation, n8n for orchestration, and the Google Sheets API for persistence.