Turn Telegram messages into Todoist tasks
They use Telegram, an LLM, and n8n to convert plain messages into Todoist todos.
- What they did
- They connected a Telegram bot to an orchestration tool and used an LLM to read natural-language messages. When they send the bot a note about something to do, the workflow turns it into a Todoist task. They said this is a more controlled setup than OpenClaw.
- How it went
- They use it for home tasks sent in from elsewhere, and they say it works for that purpose. No counts or detailed limits were given.
- Tips
- Build the Telegram trigger, language-parsing step, and Todoist action as separate parts so each one is easy to test. Make sure the flow checks the parsed task before creating it in Todoist.
Try it yourself with n8n
Help me build an n8n workflow that watches a Telegram bot for messages like "[task]" or "remind me to [task] by [date]", uses an LLM to turn the text into a Todoist task title and due date, and then creates the task in my [Todoist project]. Before any irreversible action, pause and show me the parsed task details for approval. After approval, add the task and send a Telegram reply confirming what was created.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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