Running a news Telegram channel requires constant content: you need to monitor sources, rewrite articles in your channel's style, and publish consistently — ideally every 1–2 hours. Manually this takes a full-time editor. With AI automation — zero.
Case study: media project
A client ran a thematic news channel about car imports to Ukraine. They needed to post 15–20 times per day from 4 different sources, rewriting content in a specific tone.
15–20
posts per day
0
editors needed
<30 min
max delay from source to channel
4
sources monitored simultaneously
How the pipeline works
- Source monitoring — the system checks 4 sources every 5–30 minutes (configurable). Sources can be websites, RSS feeds, or other Telegram channels.
- New content detection — the system compares what it has seen before and picks up only genuinely new materials.
- AI rewrite — the article is sent to the AI model with instructions: tone, format, length, hashtags, emoji style. The output matches your channel's voice.
- Auto-publication — the rewritten post goes straight to the channel. No human in the loop.
- Deduplication — if the same news appears on multiple sources, the system publishes it only once.
🤖 AI customization: the rewrite prompt is tuned for your specific style. If the channel writes formally — formal output. If it uses emojis and short sentences — the AI matches that. The channel looks hand-written even when it's fully automated.
What you can configure
- Polling interval per source (5 min / 15 min / 30 min)
- Keywords to include or exclude
- Post length and format
- Hashtag and emoji usage rules
- Publishing schedule (or continuous 24/7 mode)
- Blacklist of topics or domains to skip
Who this is for
- News and media channels that need high posting frequency
- Thematic channels aggregating content from multiple sources
- Companies that want to maintain an active presence without a dedicated content team
Set up AI autopublishing for your channel
Tell us your sources and style — we'll build the pipeline.