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Turn a Telegram message into researched, designed social posts

An n8n agent takes a Telegram message, researches the topic, designs the posts and publishes them to social media.

Time saved
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Setup time
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Running cost
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Cost range
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Use case overview

An n8n agent takes a Telegram message, researches the topic, designs the posts and publishes them to social media.

Reported experience

  1. What they did

    The setup is an n8n workflow triggered by a Telegram message containing a topic. From there, the AI chooses a post format, Blotato researches the topic and returns structured information, the workflow creates either an infographic or slideshow video, then runs an async create-wait-retrieve-publish sequence that posts to Instagram and LinkedIn and sends a confirmation back to Telegram.

  2. How it went

    The stated result is end-to-end social post production and publishing from a single Telegram prompt, with no manual editing or uploading. The post gives no performance numbers and the visible comments add no details on failures or quality limits.

  3. Worth knowing

    The main catch is that it depends on async orchestration inside n8n and on Blotato for research and asset generation; the post points to a template rather than explaining the workflow step by step.

Example prompts

Try with n8n
Build me an n8n workflow that starts when I send a message to my Telegram bot with a topic. It should research the topic on the web, write a post for [platforms, e.g. LinkedIn and X] in [my brand voice], and generate a matching image. Before anything is published, send me the drafts back in Telegram and wait for my approval; the job is done when an approved post goes live on my accounts.
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