Independent analysis of AI systems, agents, infrastructure, and economics. We test claims against primary sources and publish the calculations, comparisons, and decision tools behind our conclusions.
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Reproducible checks
Where possible, we publish the commands, calculation method, comparison basis, or test used to reach a conclusion.
Useful comparisons
Each analysis adds a decision framework, calculation, comparison, or test you can use.
Visible corrections
Material errors are corrected under a public corrections process rather than quietly ignored.
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Latest analysis
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How Do AI Agents Pay? 87% of x402 Payments Cost Under 10 Cents
Key Takeaways AI agents pay by receiving a price from a service and settling it inside the same web request, with no checkout page. The protocol Chainalysis studied…
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Why AI Agents Work Around Restrictions: A ‘Don’t’ List Missed a Form
Key Takeaways AI agents work around restrictions when a task cannot be finished as given. Anthropic’s term for it is persistence. Anthropic’s October 9 report groups its cases…
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AI Agent Lock-In: Gemini Swaps Models, but Memory Lives in Google’s Cloud
Key Takeaways Google’s Gemini agent runs jobs on Gemini or Anthropic’s Claude models at launch, so the model layer is swappable by design. Four kinds of memory, plus…