AI systems change without a headline.
Most people only see the last answer.
AI Weather is the public daily condition of 12 major systems, so a shift is visible before it becomes a story, a bad week in production, or a quiet “it feels different.”
It looks like weather on purpose. The point is that anyone can read it. Behind the colors is a repeated measurement: same checks, same day, traceable output.
What you can do with it
Newsrooms and blogs. Put the widget next to an AI story. Readers see today’s condition, not last month’s benchmark. One embed, updated for you.
Teams. Use it as a glance: did something move since yesterday? Color is the condition. Not a score to decorate a slide.
Builders. The same daily file can feed another app. The weather is one readout of a measurement meant to be reused.
What it is not
Not a ranking.
Not a “best model” list.
Not a weather forecast for rain.
Not a certificate that a system is safe.
A clear day does not mean the model is good. A disrupted day does not mean the vendor is done. It means:
this is what we observed this morning, under a fixed protocol.
How the measurement works
Each day the same panel of 12 systems is run under comparable conditions. Questions are repeated so variation can show up. Results are turned into a simple public condition: clear, variable, or disrupted.
The full protocol, thresholds, and daily files are public on GitHub. That is the lab notebook. This page is the briefing.
Built to be checked
The widget is the human view. Under it, the day is also a machine-readable file. Hash and signature are there so a third party can verify that today’s bulletin matches the published measurement — not a graphic someone drew by hand.
Pretty is the hook. Traceable is the reason to trust it enough to publish.
Use it
Install the free widget
See today’s wall
Newsdesk or integration questions: contact