Why We Ask for Deal Terms Even When We Know We Won’t Get Them
Directly asking for confidential deal terms, even when refused, produces a useful signal that a press release alone never will.
The AI Product Launch Metric We Wish More Companies Disclosed
Time-to-first-value, not raw capability, is the metric that best predicts whether a new AI feature actually gets used.
The AI Company Profile We Wouldn’t Run Without a Response
Our policy on giving companies a real chance to respond before publishing anything critical, and why we hold to it even under deadline pressure.
What We Learned From the Breaking AI Story We Got Wrong
A past correction taught us more about our own process than any story we got right. Here’s what changed afterward.
The AI Policy Fights Happening at the State and Local Level, Overshadowed by National Debate
National AI policy debates get most of the coverage. Meaningful, binding AI rules are also emerging at the state and municipal level.
The AI Regulation That Applies Retroactively, and Why That’s Unusual
Most regulation applies going forward. A subset of AI rules reach back to systems already deployed, creating a distinct compliance challenge.
The Regulatory Review That Shapes an AI Acquisition Before It’s Announced
Antitrust considerations increasingly shape AI acquisition structure long before a deal becomes public, and that shaping is rarely visible in coverage.
The Funding Round That Closes Right Before a Product Launch
Timing a funding announcement just ahead of a major product release is common enough to be a recognizable pattern worth naming.
Why Some AI Partnerships Are Announced Twice
A pattern of re-announcing an existing partnership with new framing is common enough to have its own tell: watch the actual date of the underlying relationship.
The AI Deal Coverage Question: Who Actually Wrote the Check
In multi-party AI deals, tracing who is actually providing capital versus who is merely a named partner changes the story significantly.