Running an AI News Channel with Telegram and OpenClaw: A Complete Workflow

✍️ OpenClaw Radar📅 Published: February 7, 2026🔗 Source
Running an AI News Channel with Telegram and OpenClaw: A Complete Workflow
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A developer has shared their complete workflow for running an AI-powered news channel on Telegram, demonstrating how OpenClaw enables efficient content curation with minimal human intervention.

The Setup

The system uses an AI assistant named Jackie running on OpenClaw, with Telegram as the primary interface. Jackie monitors RSS feeds from sources like Hacker News, Testing Catalog, and Reddit, validating stories using Perplexity MCP for fact-checking.

How It Works

  • Hourly News Scans — Jackie monitors multiple sources for trending AI stories
  • Proposal System — When something newsworthy is found, Jackie drafts a post and sends it to a private Telegram group
  • One-Tap Publishing — The human editor reviews and types "Approve" or provides feedback
  • Mobile-First — The entire editorial workflow happens on phone between meetings
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Key Technical Details

  • OpenClaw running on an old Mac (always-on gateway)
  • Telegram bot with multiple groups for different contexts
  • Custom Perplexity MCP for fact-checking and validation
  • Cron jobs for scheduled scans and reports
  • Deduplication tracking via markdown files

Results

The channel publishes 5-10 high-quality AI news posts per day with just 10-20 minutes of actual human time for validation. Jackie handles scanning, validating, and drafting, while the human editor makes final decisions.

Lessons Learned

  • Always fact-check with Perplexity before proposing stories
  • Short posts (2-3 sentences + link) perform better than long explanations
  • Deduplication matters — log everything to avoid repeats

A video demonstration of this workflow is available on YouTube.

📖 Read the full source: r/openclaw

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👀 See Also