Your AI product needs to remember its own mistakes
Evals turn real failures into infrastructure that keeps up with every change to the model, prompt, or flow.
Ideas, experiences, and lessons from people building products with artificial intelligence. A section for publishing invited voices with clear authorship, context, and credit.
This is an editorial track independent from the newsletter and guides. Every published text keeps the perspective of its author, with an author profile that makes the context, links, and responsibility for the contribution clear. The goal is to bring different experiences in product, agents, and AI governance closer together.
Evals turn real failures into infrastructure that keeps up with every change to the model, prompt, or flow.
We accept complete pieces about product, agents, evaluation, and AI governance. Every submission goes through editorial review before anything is published.
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