A 33-step ai & agents automation, triggered by form, connecting OpenAI (LLM), HTTP / REST API, Facebook / Meta, X / Twitter, LinkedIn, OpenAI and more, 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 OpenAI (LLM), Facebook / Meta, X / Twitter, LinkedIn and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
33
Nodes
8
Integrations
38
Connections
Form
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
Social Media Content· outputParserStructured
gpt-4o-mini· lmChatOpenAi
gpt-4o LLM· lmChatOpenAi
gpt-4o-mini1· lmChatOpenAi
gpt-4o-mini2· lmChatOpenAi
Submit Social Post Details· formTrigger
SerpAPI· toolSerpApi
Social Media Content Factory· agent
Prepare Content Review Email· agent
Prepare Results Email· agent
Prepare Results Message· agent
Gmail User for Approval· gmail
Gmail Results· gmail
Telegram Results· telegram
💼 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 OpenAI (LLM), HTTP / REST API, Facebook / Meta, X / Twitter, LinkedIn, OpenAI and more 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.