Writing & Intellectual Property
A book, a patent-pending framework, and a growing body of writing — all making the same argument: AI earns its place in the enterprise through reliability, not hype.
The Book · 2026
Building and Running Reliable Agent Systems
A practical field guide for the people who have to make AI work after the demo ends. It distills the reliability methods behind my patent-pending framework into an operator's playbook — how to design, deploy, and govern agent systems that stay trustworthy under real-world conditions, where edge cases, bad assumptions, and silent failures live.
Written for executives setting AI strategy and the engineers building the systems — the two audiences I spend my career translating between.
Patent Pending
A framework that embeds high-reliability safety practices directly into how AI agents operate — the work that took agent task completion from 68% to 100% while cutting cost more than 40% in controlled testing.
Application No. 64/051,636, filed 2026. Inventor: Kyle Kramer.
Like an expert who looks straight at the thing that matters and never registers it, agents lock onto the task and miss the edge case, the bad assumption, the harm about to occur.
Reliability protocols make agent systems auditable and dependable at scale — measurable gains in completion and cost, not just demos that impress.
Essays & Op-Eds
Writing on why corporate AI produces so much "slop" — and what an engineering discipline of reliability does about it.
For two years the ball everyone was told to count was "ship something we can call AI" — and organizations went blind to the gorilla: whether the thing actually worked. A case for distributed inattentional blindness as the real story behind AI slop.
Expert radiologists missed a gorilla hidden in a lung scan because their focus was the problem. AI agents share the limitation — and recognizing it is the first step to building systems that don't.
Published in Chemical Engineering Progress — on reinvention and carrying engineering discipline into new domains.
Ongoing writing on reliability, quality, and applied analytics at thesixsigmaengineer.wordpress.com.
Op-eds currently in submission with leading technology and science publications. Links added as pieces are published.
Speaking & Teaching
I teach AI as an adjunct professor at East Tennessee State University — at the intersection of AI and public health — and speak to leadership teams on enterprise AI strategy, governance, and reliability. If you're convening executives, engineers, or students on making AI trustworthy, I'd welcome the conversation.