How We Use AI
We're not traditional journalists—we're curious researchers harnessing AI to bring ideas to life. We believe AI can democratize quality analysis, but only with transparency and rigorous human oversight. Here's exactly how we use it.
The Reality
Most AI automation articles read like a foreign language. That's the problem we're solving. We use AI to research and synthesize complex topics, then human editors translate that into clear, accessible analysis. You don't need a PhD to understand AI regulation or sports analytics—you just need someone who can explain it clearly.
How AI Helps Us
Research & Synthesis
What: AI scans thousands of sources and identifies key insights, data points, and emerging patterns.
Why: One person can't read everything. AI helps us find what matters across massive information streams.
Human: We verify every fact, choose trusted sources, and add context AI can't provide.
Clarity & Accessibility
What: AI helps draft explanations and suggests simpler ways to communicate complex ideas.
Why: Complex doesn't have to mean complicated. AI helps us test if our writing is actually clear.
Human: We rewrite, refine, and ensure every piece is understandable without dumbing down.
Bias Detection
What: AI flags potentially biased language, partisan framing, or unsupported claims.
Why: Unbiased analysis requires constant vigilance. AI helps catch what we might miss.
Human: We make final judgment calls on tone, framing, and editorial voice.
Fact-Checking
What: AI cross-references claims against multiple sources and flags inconsistencies.
Why: Errors damage trust. AI helps us catch mistakes before they reach readers.
Human: We verify against primary sources and maintain ultimate accountability.
What AI Doesn't Do
✗ AI doesn't make editorial decisions about what we cover
✗ AI doesn't write final content—humans write, AI assists
✗ AI doesn't determine our editorial stance or bias filtering
✗ AI doesn't replace human judgment on complex issues
✗ AI doesn't publish without human review and approval
Our Editorial Process
Human identifies trending topic or reader need
AI researches across thousands of sources, synthesizes key insights
Human verifies facts, evaluates source credibility, adds context
Human writes article with focus on clarity and accessibility
AI suggests clarity improvements, flags potential bias or errors
Human makes final editorial decisions and approves for publication
Reader-Facing AI Features
- TLDR summaries generated on demand and cached locally.
- Reading time and complexity indicators derived from text analysis.
- Related article recommendations supported by semantic matching.
- Contextual definitions and clarifications where needed.
Our Commitments to You
Total Transparency: We're honest about AI use. No hiding, no misleading.
Unbiased Analysis: We filter out partisan spin and editorial agendas—AI helps us stay neutral.
Clarity First: We translate complexity into accessibility without dumbing down.
Rapid Corrections: When we're wrong, we fix it immediately and disclose the change.
Human Accountability: A real person stands behind every article we publish.
Questions about our AI use?
Contact us at [email protected] or reach out via our contact form.
Contact NEXAIRI