In plain terms: this is an AI assistant that works on demand. 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.
22
Nodes
3
Integrations
29
Connections
Sheets
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
Google Sheets Trigger· googleSheetsTrigger
url_Search· httpRequestTool
serp_search· toolWorkflow
Internal_links· toolWorkflow
ai_mode· toolWorkflow
Memory· memoryBufferWindow
Brain· toolThink
OpenRouter Chat Model· lmChatOpenRouter
OpenRouter Chat Model1· lmChatOpenRouter
Filter· filter
Content Analyst· agent
Master Research & Synthesis Agent1· agent
Output1· outputParserStructured
output1· outputParserStructured
💼 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, HTTP / REST API, 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.