I build systems that don’t confuse confidence with correctness.
I work on AI, automation, and decision systems where answers are treated like infrastructure, not opinions.

Latest writing
Short notes, essays, and longer reflections on AI, trust, evidence, and the systems I’m building and questioning.
27 January 2026
The Answer That Felt Right
A reflection on how fragile decisions pass as solid when assumptions stay invisible.
- The Answer That Felt Right27 January 2026
- Silence Is Success: Why a Quiet Watch List Is the Best Outcome26 January 2026
What I do
I help turn complex, interconnected problems into systems that behave predictably under real-world pressure. My background is in design automation and engineering, which means I’m trained to care less about how convincing something sounds and more about what it can survive.
I’m especially interested in what happens when answers move faster than judgement, and when black-box outputs get reused until they become defaults.
Why CueCrux exists
Modern AI can be useful, fast, and oddly comforting. It can also be wrong in ways that don’t announce themselves.
Since 2025, the volume of plausible fabricated content has made that problem harder to ignore. When an answer can influence decisions, automate actions, or justify outcomes, “sounds right” is not a standard.
CueCrux is built on a simple engineering idea: if an answer matters, it should show its working.
Proof, plainly
- Principal Steward of CueCrux (evidence-first answers with traceable support)
- Author of The Shape of Knowing
- Engineering background: structural stress, failure modes, and verification discipline
- Deep interest in computers, coding, integration, and automation