Department · AI & Machine Learning

AI

The engineers, researchers, and practitioners building machine intelligence and living with what they create.

15 stories

Featured Story

From Patient Safety to AI Assurance: Why I Founded Orbyntis

Krishnaveni Gorijavolu shares how her background in healthcare, patient safety, and regulatory affairs shaped her approach to trustworthy AI and inspired her to found Orbyntis. The article explores why autonomous AI needs continuous assurance—testing, governance, runtime protection, and evidence—so enterprises can trust AI before it acts.

By Krishnaveni Gorijavolu·August 18, 2026

From Patient Safety to AI Assurance: Why I Founded Orbyntis

Photograph for Build With Her Magazine

System Design Has Changed: What Actually Broke, and What Still Holds

"System design is dead," says the feed. A more careful autopsy from a CTO building with LLMs: the battle-tested toolkit survived, but three assumptions beneath it did not — determinism, predictable cost, and the separation of data from instructions. With real incidents, the patterns that answer each break, and a free 7-day GitHub course to learn the new layer from day zero.

Manisha Sarkar

I Didn't Set Out to Build an AI Platform—I Set Out to Solve a Retail Problem

This article shares my journey as a Lead Data & AI Platform Architect designing an AI powered inventory intelligence platform for retailers. It explores how understanding business processes, not just artificial intelligence, led to practical solutions that automate operations, improve inventory visibility, and help businesses make smarter decisions.

Srujana Sree Bathineni

Your Grief Has a Price Tag and Tech Companies Are Charging It

This article pulls back the curtain on the grief tech industry, exposing how technology companies are turning the rawest human emotion into a recurring revenue stream, and what every grieving person deserves to know before they hand over their heart and their data.

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