A 15-step ai & agents automation, triggered by webhook, connecting Google Drive, Webhook, HTTP / REST API, Airtable, OpenRouter (LLM), with built-in AI reasoning.
In plain terms: this is an AI assistant that works whenever it receives a request or form submission. It uses AI to understand and generate content, so it handles judgement-style work, not just moving data. It connects to Google Drive, Airtable, OpenRouter (LLM) and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
15
Nodes
5
Integrations
13
Connections
Webhook
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 Drive Trigger· googleDriveTrigger
Webhook: CSV Upload· webhook
LLM· lmChatOpenRouter
OpenRouter Chat Model· lmChatOpenRouter
Postgres Chat Memory· memoryPostgresChat
Download file· googleDrive
Parse CSV· spreadsheetFile
Basic LLM Chain· chainLlm
AI Agent· agent
Extract from File· extractFromFile
Claude: Classify Mention· httpRequest
Parse Claude Response· code
Loop Over Mentions· splitInBatches
Parse Claude Response1· code
💼 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 Drive, Webhook, HTTP / REST API, Airtable, 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.