OpenClaw Agent Automates AI News Pipeline with LLM Curation
Automated AI News Pipeline with OpenClaw
This OpenClaw agent runs as a cron job 8 times daily (every 2 hours from 6:40 AM to 8:40 PM ET) to automate an AI newsroom. The pipeline scans multiple sources, curates content with LLMs, and publishes to Telegram with full automation.
Phase 1: Multi-Source Scanning
- 25 RSS feeds via blogwatcher with keyword filtering and 3-tier source ranking (TechCrunch, OpenAI Blog, Reuters Tech, Simon Willison, etc.)
- 13 Reddit subreddits via public JSON API with score-filtering and flair-filtering
- Twitter/X via bird CLI (curated account lists by tier) and twitterapi keyword search (min 50 likes, 5K followers)
- GitHub trending + release monitoring for 16 key AI repos
- Tavily web search with 5 targeted queries and 2-day freshness window
All sources run best-effort—if one fails, the rest continue.
Phase 2: Scoring, Deduplication, and LLM Curation
- Quality scoring script assigns points based on source tier, keyword signals, and breaking news indicators
- Title similarity matching at 80% to collapse duplicate stories
- Deterministic URL pre-filter checks against two history files: everything scanned and everything published
- Top 8 articles get full text fetched (Cloudflare Markdown preferred, HTML fallback, 1,200 character cap)
- Gemini Flash receives scored list, enriched articles, and editorial profile to pick and rank top 7 stories
Phase 3: Learning Editorial Profile
- Markdown file captures preferences over time (Anthropic news, M&A over $100M, AI security incidents, geopolitics, etc.)
- Currently at 82% scanner approval rate (4 out of 5 stories match preferences)
- Nightly cron job updates profile based on daily approval and rejection decisions
Phase 4: Publishing Pipeline
- Scan delivers 7 ranked stories to Telegram News Editing Group
- "Draft #3" command triggers publishing pipeline
- Story goes to Perplexity for fact validation and source gathering
- Writer sub-agent (Claude Sonnet) trained on writing style with humanizer to remove AI tells
- Draft reviewed by Perplexity for accuracy and writing feedback
- Writer does final revisions
- Gemini Nano Banana 2 generates cover image matching story
- Posts to test channel first, then main channel after approval
- Every published story logged with timestamps, message IDs, and source URLs
Cost and Technical Details
- Total cost: about $5/month
- Gemini Flash handles LLM editorial filtering (switched from Gemini CLI after OAuth issues)
- Tavily free tier covers web search
- Reddit JSON and GitHub API are free
- Default model in Telegram group is GPT-5.3-codex (improved after setting thinking = high)
📖 Read the full source: r/openclaw
👀 See Also
OpenClaw Reconciles Garmin Device Worksheet Against Real Activity History
A user fed OpenClaw a stale Garmin app screenshot and a blank worksheet; it fetched real activity history, reconciled each entry, and populated the exact 3-tab spreadsheet support required.
Google Account Suspension and Restoration for AI Agent Use
A developer created a new Gmail account for their AI agent, which Google suspended within 20 minutes. After submitting a detailed restoration request explaining the agent's purpose and security measures, Google restored access within 12 hours.
Running an AI News Channel with Telegram and OpenClaw: A Complete Workflow
A developer shares their setup for running a Telegram news channel with just 10-20 minutes of daily human oversight.
How Claude Code Agents Coordinate in Production: Orchestrator Insights
A team running six specialized Claude Code agents (coder, designer, marketing, QA, security, operations) that autonomously ship features, designs, and social content daily details their orchestrator system. They cover task dispatch, agent handoffs, failure scenarios, and why state machines beat message queues for coordination.