How automation powers HafidWatch.
Nothing hidden.
We believe our readers deserve to know exactly how their news is made. This is the full picture.
What is automated — and what isn’t.
Not everything at HafidWatch is automated. Here’s the exact breakdown.
✓ Automated
- News source monitoring from 50+ publications
- Relevance and quality scoring (0–1 scale)
- Sentiment analysis and ticker extraction
- Distribution across 8 channels
- WordPress publishing pipeline
- Weekly digest compilation
- Alert signal detection
✕ Not automated
- Editorial policy decisions
- Source tier classification
- Final judgment on newsworthiness
- Corrections and retractions
- Advertiser and sponsor relationships
Every story. 5 steps.
Every article processed by the AI automation pipeline goes through the following steps before it reaches you.
RSS feeds, HackerNews, and Bluesky scraped every 2 hours, 24/7. Over 50 tier-A sources monitored continuously.
Each article receives a confidence score from 0 to 1. Stories below 0.55 are dropped automatically — no human needed to filter noise.
GPT-4 by OpenAI assigns sentiment (bullish/bearish/neutral), extracts ticker symbols, and generates a concise summary of the original article.
Only stories that clear both source quality and confidence score thresholds reach publication. The gate was designed by a human editor and reflects our editorial standards.
Cleared stories publish simultaneously to WordPress, Telegram, LinkedIn, Discord, Threads, Facebook, and Bluesky. No manual posting required.
What AI does — and what it doesn’t.
AI assists with speed and consistency. It does not replace editorial judgment or primary reporting.
We do not use AI to fabricate quotes, invent facts, or create content that misrepresents sources. Summaries reflect the original article’s content. The AI automation pipeline is a classification and distribution system — not a replacement for journalism.
AI lets us monitor 50+ sources and publish to 8 channels 24/7 — something no small editorial team could do manually. The speed is real. The quality gate is also real.
Every article goes through the same scoring criteria. No editorial bias from a tired editor at 3am. The pipeline applies the same standard to every story, every time.
The scoring system, source tiers, and editorial thresholds were built and are maintained by a human editor. The AI executes — the standards are human.
When something is wrong, a human corrects it — publicly and promptly. AI does not issue corrections. We do.
Transparency isn’t optional. It’s the product.
Automation helps us be faster and more consistent across 50+ sources, 24/7. Editorial judgment makes it trustworthy. We think both matter — and we think you should know which is which. Media that hides how it works erodes trust over time. We’d rather build it.
Questions about our AI automation process?
We’re happy to explain how any part of the pipeline works.