In plain terms: this is an AI assistant that works on a set schedule (e.g. daily). It uses AI to understand and generate content, so it handles judgement-style work, not just moving data. It connects to Google Sheets, OpenRouter (LLM) and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
34
Nodes
3
Integrations
36
Connections
Schedule
Trigger
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The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.
⚙️ How it works
GPT 4.1-mini· lmChatOpenRouter
Scenes· outputParserStructured
Close Ups· outputParserStructured
GPT 4.1· lmChatOpenRouter
Schedule Trigger· scheduleTrigger
Scene Creator· agent
Image Prompt Generator· agent
Winner Image Prompt· agent
Get Main Character· googleSheets
Opponents· set
Main Character· set
Split Out1· splitOut
Generate Scene· httpRequest
Split Out· splitOut
💼 Business analysis
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Business use case
Deploys an autonomous AI agent that can reason over instructions, call tools, and take multi-step actions on behalf of a team — replacing repetitive knowledge work. It orchestrates HTTP / REST API, Google Sheets, OpenRouter (LLM) so a single natural-language request becomes a completed task.
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Market need
Businesses are racing to put AI agents to work but lack the engineering to wire models to their real tools and data. This delivers that wiring as a ready-to-run asset.
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Market value
Custom AI-agent builds are quoted at $3,000–$15,000+ by agencies, with managed retainers on top. As a productised template it commands premium one-time or subscription pricing.