A 32-step ai & agents automation, triggered by schedule, connecting Google Sheets, OpenAI, OpenRouter (LLM), HTTP / REST API, with built-in AI reasoning.
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, OpenAI, OpenRouter (LLM) and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
32
Nodes
4
Integrations
37
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-5-mini1· lmChatOpenRouter
Schedule Trigger· scheduleTrigger
Edit Fields· set
Veo Image Prompt1· agent
Veo Video Prompt2· agent
Sora Video Prompt1· agent
Veo Video Prompt3· agent
Get row(s) in sheet1· googleSheets
HTTP Request· httpRequest
Nano Image1· httpRequest
Veo Video2· httpRequest
Sora Video1· httpRequest
Veo Video3· httpRequest
Switch1· switch
💼 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 Google Sheets, OpenAI, OpenRouter (LLM), HTTP / REST API 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.
🧩 Integrations & stack
📊Google Sheets🧠OpenAI🧠OpenRouter (LLM)🌐HTTP / REST API