A 26-step ai & agents automation, triggered by manual, schedule, connecting OpenAI (LLM), Google Sheets, HTTP / REST API, YouTube, Gmail, with built-in AI reasoning.
In plain terms: this is an AI assistant that works on a set schedule (e.g. daily). It uses AI to understand and generate content, so it handles judgement-style work, not just moving data. It connects to OpenAI (LLM), Google Sheets, YouTube, Gmail and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
26
Nodes
5
Integrations
25
Connections
Manual, Schedule
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
When clicking ‘Test workflow’· manualTrigger
Schedule Trigger1· scheduleTrigger
OpenAI Chat Model· lmChatOpenAi
OpenAI Chat Model1· lmChatOpenAi
OpenAI Chat Model2· lmChatOpenAi
Get Existing Ideas· googleSheets
Idea Generator· agent
Image Prompt· agent
Video Prompt· agent
Sheet Process· code
Set Characters· set
Set Prompts 1· set
Generate Videos· httpRequest
Split Out· splitOut
💼 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), Google Sheets, HTTP / REST API, YouTube, Gmail 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.