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, Google Gemini and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
26
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
DataforSEO Location Code1· httpRequest
Google Sheets Trigger1· googleSheetsTrigger
Update row "Completed"· googleSheets
Update row "Processing"· googleSheets
2.5 Flash· lmChatGoogleGemini
url_Search· httpRequestTool
serp_search· toolWorkflow
Internal_links· toolWorkflow
ai_mode· toolWorkflow
2.5 Pro· lmChatGoogleGemini
Memory· memoryBufferWindow
Brain· toolThink
Filter· filter
💼 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, Google Gemini 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.