Nick Carter

Engineering leader who builds AI systems — and teaches teams to build them too

Eighteen years in engineering leadership, most of it in regulated medical devices — Becton Dickinson and Dexcom. Director-level, managing managers. But I'm hands-on with AI. Not advising from slides. Building real systems, shipping real products, and figuring out what works by doing it.

I'd rather be an individual contributor at a company that takes AI seriously than a director at one that doesn't. What I really want is both — a hands-on leadership role where I bring AI fluency to the job and help teams who are struggling to adopt it find their footing.

What makes me different is the intersection. I know what it takes to keep medical device software audit-ready under IEC 62304 and FDA oversight. I also know how to build AI agent systems, design context architectures, and ship creative work through AI-augmented pipelines. Most people have one of those. The combination is rare.


How I Work with AI

The pipeline that produced everything on this site

1
Brainstorm
Explore the idea. Ask questions one at a time. Propose 2-3 approaches. Pick one.
Visual companion for design decisions
2
Spec
Write the design document. Automated review catches issues before code exists.
4 issues caught on this site's spec
3
Plan
Break into bite-sized tasks. Each one self-contained, testable, committable.
8 tasks for this site
4
Build
Fresh AI agent per task. Curated context — only what the task needs. Review after each.
Subagent-driven development
5
Review
Spec compliance check, then code quality check. Fix issues. Re-review until clean.
Two-stage review loop
6
Ship
Deploy. Verify live. Document the process. The documentation is itself an artifact.
The meta-artifact

How I Build with AI


Seven Skills, Mapped to Artifacts

Based on the Nate Jones framework — seven AI skills that show up consistently across $150K–$400K job postings

Each dot represents an artifact that demonstrates the skill. Empty rows are gaps I'm actively closing.

SkillIntentPadLoreHavenLocal BrainCLAUDE.mdShip With IntentAgenticThis SiteAlbum
Specification Precision
8 artifacts
Evaluation & Quality Judgment
5 artifacts
Decomposition for Delegation
6 artifacts
Failure Pattern Recognition
4 artifacts
Trust Boundary Design
3 artifacts
Context Architecture
4 artifacts
Cost & Token Economics
2 artifacts
Demonstrated
Not covered by this artifact