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 OpenRouter (LLM) and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
16
Nodes
2
Integrations
15
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
Create browser session in Firecrawl· firecrawlTool
Execute browser code in Firecrawl· firecrawlTool
List browser sessions in Firecrawl· firecrawlTool
Delete browser session in Firecrawl· firecrawlTool
Receive Scrape Request· webhook
Primary Chat Model· lmChatOpenRouter
Fallback Chat Model· lmChatOpenRouter
Parser Chat Model· lmChatOpenRouter
Scrape Webpage Content· firecrawlTool
Search the Web· firecrawlTool
Get Browser Context· firecrawlTool
Research & Extract Web Data· agent
Validate Output Schema· code
Format Response to Schema· 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 Webhook, 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.