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Make’s trigger guide shows how to bootstrap agent scenarios from Slack, Telegram, email, forms, webhooks, or mailhooks, then add tools, knowledge, and instructions—or run on a schedule.
In r/AI_Agents, a production workflow uses OpenClaw cron + browser automation + a Google Sheet ledger + Telegram reviews: the agent shortlists live deals with comps/screenshots but cannot message a seller until a human approves the exact note.
This n8n community template transcribes Telegram voice messages, extracts meal ingredients and estimated nutrients with OpenAI, stores structured rows in Sheets, and replies with a confirmation.
A Hermes user documents an ANA check-in, baggage handling, airport route alternatives, and a reusable check-in tool, alongside failures in other tasks; the account remains a personal report.
The template rejects OTPs and unknown senders, structures transaction alerts into a Sheets ledger or review queue, and answers spending questions through a Claude Telegram agent.
An X resource list points to an unofficial Telegram bridge. Its README specifies that the bridge runs on the Grok Bot remote computer and permits only allowlisted private chats.
OpenAI categorizes submitted expenses and marks those needing approval, while the workflow records status in Sheets and sends managers details through Telegram and Gmail.
Lilo's builder lists forwarding an Uber receipt and retrieving it for a work reimbursement among actual uses of the open-source assistant's persistent workspace and messaging channels.
The Telegram template searches Amazon, Walmart, and Google Shopping in parallel, normalizes offers, and uses OpenAI to assess variant matching and suspicious listings.
A Gemini Telegram agent uses separate Google Sheets tabs for income and expenses and supports conversational additions, lookups, and deletions.
The workflow selects a current article from RSS feeds, drafts a Telegram summary with Gemini, and waits for a human approval action before publishing it.
A GPT-4.1 assistant transcribes voice or reads text, answers product questions from store information, and records order details in Google Sheets while retaining conversation context.
The template indexes provided learning documents in MongoDB Atlas and uses a Gemini Telegram agent to retrieve relevant passages before answering questions.
A Telegram workflow uses vision to identify ingredients and a second model step to generate three structured recipes, then formats the suggestions for chat.
Gemini extracts a task title and due date from Telegram messages or voice notes, then lets the user approve or decline the proposed Notion task.
The workflow combines Google Sheets storage with an AI recipe agent, allowing Telegram users to retrieve, create, search, and modify saved recipes.
Gemini summarizes new article or YouTube links from a Sheets queue, stores the results, and lets a Telegram assistant retrieve the saved reference material.
Gemini classifies Telegram messages by intent and routes shopping questions to a live Amazon search and product-ranking flow.
A GPT-4 agent interprets text or voice requests and routes them to specialized workflows for posts, images, image edits, and other marketing assets.
The smart-calendar template combines OpenAI analysis, Perplexity research, and weather data to prepare contextual event notes delivered through Telegram.
A self-hosted n8n template uses Mistral to structure chat-submitted expenses, archives receipt images in Drive, and links the resulting Google Sheets rows to the originals.
A Gmail workflow uses GPT-4 to classify messages and summarize important content, with Telegram alerts for items that meet the configured escalation criteria.
The template uses an OpenAI model to interpret voice or text messages and create structured tasks and subtasks in Todoist.