Welcome to Resilient X Design, a publication run by the team at Safe Intelligence. This is our corner of the internet, where we openly discuss what it takes to keep machine learning (ML) models reliable when real-world turbulence arises. It’s a space for AI builders, breakers, and the generally curious to gather, compare notes, and level up the craft of robust machine learning.

Why we started this

ML models are everywhere, but truly robust models are still rare. At Safe Intelligence, we’ve spent years inventing and refining deep-verification techniques that go far beyond linear test suites. They’re repeatable, scalable, and already safeguarding models in high-stakes domains. We created Resilient by Design because we believe that robust AI isn’t a trade secret but rather a community practice. By sharing what we know – and what we’re still figuring out 🙂 – we help you to ship systems that don’t break in production. But there’s more, this space is completely vendor-agnostic. Our focus isn’t on any one product, ours or anyone else’s, but on the challenges, the methodologies, and the real-world outcomes that matter.

Why hit subscribe?

• Technical know‑how: Quick‑hit guides and checklists for designing, validating, and scaling resilient models.

• Case studies that matter: Straight‑from‑the‑field stories of what worked, what didn’t, and why.

• Community support: A friendly space to swap questions, tactics, and lessons learned with fellow reliability fans.

Pull up a seat and join the conversations.

Curious about the team behind the curtain? See what we’re building at Safe Intelligence