Most AI coverage repeats a vendor claim at full width. PastAGI starts from the numbers a claim would need to survive an audit. A text-to-speech model gets reviewed with its serving math attached. An hourly price for a frontier model gets checked line by line rather than quoted. The site's standing position is that chain-of-thought summaries are not transparency, and its articles on reasoning visibility argue exactly where the trace ends and the summary begins.
Practical build topics carry the editorial weight: inference chips and the GPU market they are reshaping, agents that leak sensitive data and the patterns that stop it, prompt-dependency graphs that shrink a retest set when a prompt changes. Each piece belongs to a section a working builder can navigate: guides, tools, engineering, use cases, and an archive that keeps the older audits reachable.
A benchmark number on pastagi.com is an input to a check, not a conclusion. The reviews ask what the metric measures, what the serving conditions were, and whether a paraphrase-drift or false-positive-rate view would change the ranking. When the math is missing, the article says so instead of rounding up to enthusiasm.
PastAGI is published by Poket Dev LLC.