Insights
Data-driven insights on public-facing AI — response time, conversion, trust, and the economics of AI that meets the public on a business's behalf.
Knowing Which Screw to Turn
John Jumper shared a 2024 Nobel for AlphaFold, then left DeepMind for Anthropic — and his parting message is that the machine still doesn't understand anything. He splits what AI does into three: predict, control, understand. The first two are settled and getting cheaper. The third stays human, and it's where the value is. Why capability was never the bottleneck — and why understanding doesn't get cheaper as the models improve.
Build on Land You Own
AI adoption in construction just jumped to 38% of contractors reporting measurable impact. But the fight has moved from whether AI works to who owns the data that makes it work — your schedules, costs, RFIs, and change orders, quietly training a vendor's model. The AI-native alternative: build on accounts you own, where your data is an input, never a training set.
Boaty McBoatface Is Now an AI Problem
In 2016, the public named a ship Boaty McBoatface and the institution panicked. The same pattern is playing out in AI deployment right now. Lock it down or let it rip -- or build the trust layer.
Speed to Lead Statistics in 2026: How Fast Should You Respond to Leads?
Responding in under 5 minutes makes you 100x more likely to connect. Here are the speed-to-lead statistics that matter — and what they mean for your business.
How Missed Calls Cost Property Managers Tenants and Leases
Tenants call at all hours. Prospects won't leave a voicemail. Here's how missed calls drain property management revenue — and what the best PMs are doing about it.
How Service Businesses Lose $50K+ Per Year to Missed Calls
27% of calls to businesses go unanswered. 78% of those callers never call back. Here's the math on what that actually costs — and what to do about it.