Telegram channels · Media holdings · SMM agencies
AI editorial team: 50 posts a day in the channel's own voice, with no robotic AI phrasing.
A pipeline with a chain of role-based AI agents that turns a news feed into lively posts that read like a human wrote them. Parser → AI relevance filter → AI copywriter → AI editor → AI critic. Only posts scored ≥7 out of 10 make it through. The channel owner just taps approve / reject in Telegram.
A content manager spends 4–6 hours a day on news, and a raw language model writes in stiff bureaucratic prose
A pipeline of AI agents: filter, copywriter, editor and critic; only posts scoring 7 out of 10 or higher go to the channel
Up to 50 posts a day instead of 5–10; about 90% cheaper than a full-time editor
By the numbers
Problem
Why the content pipeline always hurts.
- A content manager spends 4–6 hours a day monitoring sources and rewriting news. Expensive, slow, and they burn out.
- A general-purpose AI chatbot "as is" produces dead text: bureaucratic language, generic phrases, stock expressions. Subscribers read it and unsubscribe.
- No systematic quality control. Posts depend on the author's mood. Good today, mediocre tomorrow.
- Without an editorial policy, the channel loses its voice. Recognition fades, and the audience can't tell how you differ from others.
- A staff AI editor is expensive: a full-time salary, plus vacations and turnover.
How it works
Five steps from news item to published post.
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A parser pulls news from sources 24/7
Telegram channels, RSS, websites, social media pages: any feed that can be connected. Deduplication at the input: the same news item never gets processed twice.
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An AI filter keeps only what's relevant
Based on your topic, your subscriber profile and your editorial rules. Noise, ads and irrelevant items are filtered out before any work starts.
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An AI copywriter writes the post in the channel's style
Trained on examples of your own best posts (few-shot learning). It picks up the author's voice, length, rhythm and typical phrasing. Not a "neutral AI", but your style.
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An AI editor strips out "AI markers"
Bureaucratic language, generic phrases, typical "chatbot-style" expressions all get cut. A word blacklist, repetition control, replacement of template constructions.
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An AI critic scores the post and sends it to the owner
5 criteria: hook, clarity, liveliness, substance, readability. Below 7, it's rewritten. At ≥7, it goes to the owner for approval via inline buttons in Telegram.
Features
What the solution includes.
4 distinct AI roles
Each with its own "temperature" and model. 10–20 times cheaper than running one top-tier model for everything.
AI critic as the acceptance editor
Gives a formal score on 5 criteria and blocks mediocre work. Strict threshold: ≥7 out of 10.
Rewrite loop of up to 3 iterations
If the first version falls short, the AI improves it based on the critic's notes. The system does the rework, not a person.
Anti-AI-detection
A blacklist of words and phrases, plus style imitation based on the owner's few-shot reference posts. Your channel sounds like your channel, not like a neural network.
Approval from your phone
Inline buttons in Telegram: approve / reject / revise. The owner approves posts from a phone without logging in anywhere.
News deduplication
If a story has already been covered, it isn't repeated. Subscribers don't see the same thing from different sources.
History of iterations and scores
All versions and scores are saved for analytics. You can track quality growth over time and tune the prompts.
Open architecture
The owner can see and edit the role agents' prompts directly. No black boxes: you tune it yourself without going to a developer.
Economics
Before and after in one table.
| What changes | Before | After |
|---|---|---|
| Monthly cost | a full-time editor salary | ~$100 |
| Posts per day | 5–10 from a human editor | up to 50 |
| Quality control | depends on the author's mood | 5 formal criteria |
| Fatigue and burnout | after 2–3 hours of work | none |
| Time per post | 30–60 minutes | 30–60 seconds |
The AI editorial team replaces the work of a full-time in-house content manager. The solution costs about $100/month. Savings of ~90%, with publishing 5–10 times faster.
Who it's for
Where the solution works.
Anywhere there's a news flow and a need for quality daily content in a lively, personal style. From a solo author to a media holding with dozens of channels.
What makes it different
Why this isn't "yet another AI bot".
Not an "LLM wrapper"
4 roles with different temperatures and models, plus a formal quality gate. A pipeline, not a single "write a post" prompt.
Quality threshold and retry
Most services publish the first draft. We publish only posts scored ≥7 out of 10; the rest go back for rework.
Tuned to your language
Most text "humanizers" ignore the nuances of a specific language. Our pipeline is tuned to the channel's language and its idioms.
We'll launch an AI editorial team for your channel in a week.
Free audit: in a 30-minute review, we'll show how your content pipeline can be handed over to AI and how much time and money that will save.
Quiz · 6 questions · 1 minute
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