AI Is Now a Commodity
Give me a few hundred million dollars and a year and a half, and I will build you a pretty good LLM.…
It's Monday morning. My coffee is hot, my IDE is open, and Claude Code just suggested I fix a bug by... creating the exact same bug in a different file. Cursor is hallucinating function names that don't exist. Codex thinks undefined is a valid return type in TypeScript.
Did the AI catch a case of the Mondays?
Truth is, we have no way of knowing if the AI we're using today is the same model as yesterday.
When you call an API from OpenAI, Anthropic, or any other vendor, you're trusting a black box. They could:
And you'd never know. There's no checksum for model quality. Nothing that actually guarantees consistent outputs. No transparency report that says "we changed the model on Tuesday."
Visit any AI subreddit and you'll find users convinced their tools got dumber overnight. The companies always respond the same way: "We haven't changed anything. It's just your imagination."
Until it isn't.
In September 2025, Anthropic published a postmortem that should be required reading for anyone who trusts AI APIs. Between August and early September, three infrastructure bugs degraded Claude's performance. Users complained for weeks. The company initially struggled to distinguish complaints from "normal variation in user feedback."
At some point Anthropic had to admit that:
Anthropic stated: "We never reduce model quality due to demand, time of day, or server load."
But users had no way to know that. For weeks, people experienced degraded performance while the company investigated.
This proves the point: model quality can change without warning, and you won't know why.
So is AI actually dumber on Mondays? Probably not. But:
Give Vroni a GitHub issue, bug report, spec, or rough idea. It reads the repo, plans the change, writes code, runs checks, and works toward a review-ready pull request.
Take a look at vroni.com