// The Briefing
Today's signal, June 22, 2026
- Models & Research
Smaller, sharper, cheaper is the through-line
The frontier kept moving, but the more useful story is that a GPT-3.5-grade answer fell from about $20 to $0.07 per million tokens between late 2022 and late 2024, roughly 280 times cheaper (Stanford AI Index). The question shifts to the smallest model that clears your bar.
Source - Tools & Products
The "AI feature" is becoming table stakes
When the model providers ship evals, retrieval, and SDK tracing in the box, a standalone tool has to beat free. Price your stack against what the platform now includes by default.
Source - Build & Automation
Evals are the new unit tests
Teams shipping agents reliably treat evaluation as infrastructure; about half now run offline evals on test sets. The pattern is portable to small teams, and it is the cheapest reliability you can buy.
Source - Business & Strategy
Return is showing up in process, not in spend
The firms reporting real value rebuilt one expensive process around a model; the ones reporting none bought a general assistant. Roughly 5 percent are capturing the value, and budget is not what separates them.
Source
The throughline
A quieter week than the headlines suggest. The interesting movement was not at the frontier but in the unglamorous middle: cheaper models doing real work, and the slow professionalization of how teams build on them. The synthesis across all four items is the same: the advantage is migrating from the model to the discipline around it.