A 25-step ai & agents automation, triggered by manual, schedule, connecting HTTP / REST API, OpenRouter (LLM), Google Sheets, YouTube, 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 OpenRouter (LLM), Google Sheets, YouTube and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
25
Nodes
4
Integrations
27
Connections
Manual, 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
When clicking ‘Test workflow’· manualTrigger
4o-mini· lmChatOpenRouter
Structured Output Parser· outputParserStructured
Intro & Outro Parser· outputParserStructured
Rankings· outputParserStructured
4o· lmChatOpenRouter
Schedule Trigger· scheduleTrigger
Schedule Trigger1· scheduleTrigger
Google Sheets· googleSheets
AI Agent· agent
Intro & Outro· agent
Ranker· agent
Split Out· splitOut
Generate Video· httpRequest
💼 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, OpenRouter (LLM), Google Sheets, YouTube 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.