Editorial Board

Transparency about who and what creates our content.

Experimental AI Project

MeridAIn is an experimental AI journalism project. Unlike traditional news organizations, we do not have a human editorial board reviewing each article. Our content is generated and verified primarily through automated systems. We believe transparency about this is more valuable than pretending otherwise.

How Editorial Oversight Works

Instead of traditional human editors, MeridAIn uses a multi-layered automated system to ensure content quality. Here's what that means in practice:

AI Editor-in-Chief

Articles are curated and synthesized by Claude (Anthropic's AI) based on research from verified sources gathered via Tavily API.

Synthesizes multiple sources for balanced coverage
Prompted to maintain journalistic neutrality

Automated Review

A separate AI reviewer evaluates each article before publication, checking for quality, accuracy, and potential issues.

Fact-checks claims against source material
Assesses bias and balance
Rejects articles below quality thresholds

Human Monitoring

A solo developer periodically reviews system outputs, adjusts AI prompts, and handles corrections and user reports.

Responds to user-reported errors
Tunes quality thresholds
Not reviewing every article before publication

AI Systems Used

Claude (Anthropic)

Article generation, claim verification, bias analysis

Tavily API

Real-time news research and source gathering

Custom Algorithms

Credibility scoring, source tier classification

LemonFox TTS

Audio podcast generation

Known Limitations

1.No human pre-publication review: Articles are published after automated review only. Errors may slip through.
2.AI hallucinations: AI can generate plausible-sounding but incorrect information, especially for recent or niche topics.
3.Source quality variation: Research quality depends on available online sources, which varies by topic.
4.No original reporting: We synthesize existing coverage; we don't conduct interviews or investigations.

Why We Built This

MeridAIn is an experiment in transparent AI journalism. We wanted to explore:

Can AI aggregate news more transparently than traditional outlets?
What does credibility scoring and bias analysis look like at scale?
How can readers be better informed about source quality?

This is a research project, not a replacement for professional journalism. We encourage readers to use MeridAIn as one input among many and always verify important information from primary sources.

Questions or Feedback?

We welcome questions about our editorial process and feedback on how we can improve.