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 Telegram, OpenAI (LLM), OpenAI, Airtable and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.
24
Nodes
6
Integrations
23
Connections
Telegram, Sub-workflow, Webhook, Schedule
Trigger
🚀 Deploy this workflow
Deploy this automation in minutes
Log in and we'll walk you through every key step by step, then deploy it for you.
The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.
⚙️ How it works
Window Buffer Memory· memoryBufferWindow
Get Chart· toolWorkflow
Telegram Trigger· telegramTrigger
Workflow Input Trigger· executeWorkflowTrigger
OpenAI Chat Model· lmChatOpenAi
Webhook· webhook
Save Ticker· airtableTool
Schedule Trigger· scheduleTrigger
AI Agent· agent
Switch· switch
Set Values· set
Set Text1· set
Get tokens· airtable
Send Analysis· telegram
💼 Business analysis
🎯
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 Telegram, HTTP / REST API, OpenAI (LLM), OpenAI, Webhook, Airtable so a single natural-language request becomes a completed task.
📈
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.
💰
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.