Research for decisions that outlast a model release.
We connect public standards, empirical work and technical guidance to the decisions teams face in real products and workflows.
Sources, method, limitations and our own inferences remain visible so readers can see how a conclusion was reached.
A new model is not a strategy.
How should an organisation decide whether a new AI model is useful for a specific product or workflow?
Read the noteMake the evidence visible.
We identify source type, keep limitations beside the claim, separate observation from inference and state when a method still needs validation.
Research pages are designed for scrutiny. Authorship, evidence cutoff, method and limitations stay close to the argument.
Overhyped
Building practical infrastructure for AI visibility.
Overhyped explores how brands are represented across search and AI agents. Its current tools evaluate search visibility, AI-agent readiness and website performance. AI CMO is in development.
It demonstrates the Aymorphic model: research a changing field, turn the learning into a focused product, and let real use sharpen the research.
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