The AI Company Profile Detail Most Readers Skip, and Shouldn’t
Cap table structure rarely makes it into company profiles, but it explains more about incentives than almost anything else in the piece.
The Three-Source Rule We Apply to Breaking AI News
A simple internal standard for when a fast-moving AI claim is solid enough to run, and when it needs one more call first.
Why We Started Publishing Interview Transcripts, Not Just Excerpts
Publishing more of the raw conversation, not just curated quotes, changed how much readers seemed to trust our interview coverage.
What a Year of AI Opinion Writing Taught Us About Our Own Blind Spots
Reviewing our own opinion coverage over time surfaced a pattern we hadn’t noticed while publishing it piece by piece.
AI Startups Are Increasingly Hiring a Head of AI Safety Before Their First Sales Hire
A small but growing number of early-stage AI startups are prioritizing a dedicated safety or trust role earlier than previous startup generations would have.
The AI Technology Metric Vendors Stopped Reporting, and Why That’s Informative
When a vendor quietly stops disclosing a metric it used to highlight, the silence itself is worth reading.
Enterprise AI Vendors Are Quietly Consolidating Their Own Supply Chain
The smaller AI vendors an enterprise selects today are themselves dependent on a shrinking set of upstream providers. That’s a second layer of risk buyers rarely price in.
The AI Business Question Boards Are Only Now Starting to Ask
Early board oversight of AI focused on opportunity. A newer, harder question has entered the boardroom: who’s accountable when it goes wrong.
How AI News Coverage Changed Once AI Started Reading It Back
A growing share of AI news readership is now AI systems summarizing coverage for humans. That changes what accurate reporting has to account for.
The AI Interview Question We Almost Always Ask Last
One closing question consistently produces more candor than anything earlier in the conversation. Here’s why we save it for the end.