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Posted on Originally published at aitechconnect.in

Build an AI Evals Portfolio: The Proof of Work Most Engineers Skip

Originally published on AI Tech Connect.

What you need to know The demo is no longer the differentiator. A chatbot or RAG app that works on one screenshot is what almost every candidate now ships. It proves you can build. It does not prove you can tell whether what you built is any good. The proof of work that is genuinely rare is an evals harness. A real task, a small golden set, defined metrics, a runnable eval script, a regression gate in CI, and a short writeup of baseline → change → result. Almost nobody ships this. The few who do stand out instantly. It signals production maturity, not demo-building. The 2026 mental shift is from "model quality" to "system quality, including the model". Thinking in evals answers the question senior and staff rubrics actually ask: how do you know it is good, and how would you catch a…


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