About
Most writing about AI systems is either a benchmark or an opinion. We publish a third thing: what happens when you actually run them for months.
Why this exists
Benchmarks measure capability under controlled conditions. They are useful and they are not the same question as what does this cost, and how does it fail, when it runs unattended for three months?
We operate autonomous AI pipelines in production. Those systems produce operational data continuously — error rates, per-task costs, the specific ways things break. That data does not exist anywhere else, because it only exists if someone runs the systems and records what happened.
What you will find here
- Measurements with a stated sample size and time window.
- Failure modes described concretely, including our own.
- Real costs, broken down by task.
And what you will not find:
- Predictions about where AI is heading.
- Tool recommendations we have not measured.
- Vendor comparisons based on marketing material.
Independence
weranai is independently operated and not sponsored by any model provider or tooling vendor. When a report involves a paid service, we pay for it. Methods are documented in Methodology so figures can be challenged.
Contact
Corrections, questions, or a measurement you would like to see: get in touch.