Content Automation

Multichannel AI newsroom for media networks

One workflow for story intake, AI adaptation, and publishing across Telegram, VK, X, Threads, Facebook, MAX, Dzen, websites, Tilda, and OpenCart.

Context & Challenges

The team had to collect topics manually, rewrite the same story for multiple formats, and publish it channel by channel. That burned editorial hours and slowed release speed.

Multichannel AI newsroom for media networks

Implemented Solution

1

Topic intake and filtering

The system monitors external sources and Telegram channels, removes noise, and surfaces priority topics.

2

AI adaptation by channel

One source story is transformed for Telegram, VK, X, Threads, Facebook, MAX, Dzen, websites, Tilda, and OpenCart with channel-specific structure and tone.

3

Moderation and distribution loop

Editors work from one panel, approve the draft, and send it to all channels in a single pass.

Engineering Stack

Core architecture and project technologies

Next.js 16PythonPlaywrightSupabaseOpenAI APIClaude API
Streamed intake from external sources
AI relevance filtering and channel adaptation
Single queue for drafts, moderation, and distribution