Resources
A more useful conversation about technical screening.
Practical frameworks for evaluating engineering work in an AI-enabled workflow. No black-box promises.
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Field guide
The first technical screen needs a new job.
The goal is not to discover who can produce a convincing answer. It is to establish enough relevant engineering evidence to make the next human conversation worthwhile.
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Practical framework
What engineering judgment looks like in a work sample.
Use observable behavior rather than broad personality labels. The same rubric should distinguish strong evidence, limited evidence, and a competency the task never exercised.
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Buyer checklist
Questions to ask any AI-enabled assessment vendor.
A convincing demo is not enough. Ask to inspect the work, the evaluation logic, and the operating boundaries before you ask candidates to participate.
A better first screen. A better next conversation.
See what engineering evidence could look like for your next hire.