Addy Osmani on Building AI Evaluation Practices
The Neuron
Addy Osmani outlined an approach to AI evaluation that relies on manually reviewing model outputs, documenting errors, and constructing systematic assessment frameworks. The methodology prioritizes hands-on analysis over automated metrics, with particular attention to capturing failure patterns through logging. Organizations implementing these practices can develop more reliable processes for measuring AI system performance and identifying improvement areas.
Why it matters
Addy Osmani emphasized that AI judgment comes from reading outputs, logging mistakes, and building evaluation frameworks.
