I help companies ship reliable AI systems. This blog is where I share that work, my life systems, creative pursuits, and candid views on the things that matter.
What I’m building with clients, practicing in life, and exploring creatively right now.
Reliability-first AI workflows for production use, with explicit handling for uncertainty.
See Current Focus →Meal systems that reduce weekday friction while staying metabolic-friendly and repeatable.
Read Meal System →How consistency compounds in music, writing, and technical craft over long time horizons.
Read Craft System →One high-friction prompt every day to sharpen judgment. Sit with it yourself, then use the contact page to connect with me on LinkedIn if you want to discuss it.
AI Systems
Use this as a decision-quality check, not a motivational quote.
AI can improve ticket clarity and completeness when used as a structuring layer. It should not replace human ownership of intent, boundaries, and risk decisions.
This site is my working notebook for technology, life systems, creative practice, and big-picture views.
Some posts are tactical playbooks. Others are personal or philosophical. All of them aim to be honest and useful.
Read Full Manifesto →Start with the lane you care about most: work, life, creative pursuits, or broader views on everything in between.
AI, engineering, and decision systems.
Explore Build →Food, health, routines, and sustainability.
Explore Live →Music, writing, and creative process.
Explore Create →Everything that doesn’t fit a single box.
Explore All →
Rate limiting looks like arithmetic in tutorials, but in production it allocates scarce capacity, encodes fairness assumptions, and shapes client behavior under stress.
RAG became the default way to ground LLMs on enterprise data, but that did not solve AI reliability. It exposed a harder reality: retrieval is infrastructure, and the real work is systems design, governance, and evaluation.
Shadow AI is not primarily a compliance failure. It is what happens when capability arrives before permission, and when demand outruns an organization's ability to govern what is already being used.
Some low-output days are not failures. They are recovery days. The difference between drift and compounding is whether you know how to protect your creative system when capacity drops.
Pick one challenge, run it this week, and document what changed. The goal is action, not perfection.
Verify that one API boundary behaves like an explicit contract under success and failure.
Reclaim deep-work time by removing friction from one recurring task sequence.
Protect momentum on a low-capacity day by shipping a reduced but intentional creative session.
Improve one project update so stakeholders can evaluate your capability without guesswork.
A different recipe each visit. Practical, repeatable, and metabolic-friendly whenever possible.
A diabetic-friendly twist on classic chicken parm that uses crispy eggplant slices instead of breadcrumbs for the coating, dramatically reducing carbs while maintaining that satisfying crunch.
I'm Nat Currier, a CTO and hands-on builder writing from real work: shipping production AI systems, making architecture tradeoffs, and solving operational problems under real constraints.
You will find practical engineering guides, diabetic-friendly recipes I actually cook on repeat, creative essays from ongoing music and writing practice, and broader viewpoints on technology, culture, and how we live. The goal is simple: each visit should leave you with something you can apply this week.
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