About
I’m Nick Pizzo. I use this site to show how I think through applied AI engineering: retrieval, evals, agent workflows, cost controls, latency, and the production details that separate a useful LLM system from a neat demo.
The north star is straightforward: write and ship artifacts that a hiring manager or senior engineer can inspect for judgment. Not badges. Not quickstart summaries. Decisions, measurements, failure modes, and code where it matters.
What I’m Building Toward
- Production-grade LLM applications on top of foundation models.
- RAG and search systems that are evaluated instead of vibe-checked.
- Agentic workflows where the model’s actual decisions are explicit.
- Cost and latency notes with concrete numbers, not hand-waving.
- Postmortems that explain what broke and what changed afterward.
How To Read This Site
Posts are meant to lead with the decision, then work backward through the reasoning. The best ones should include the rejected alternatives, the measurement setup, the surprising failure mode, and the follow-up work.
The site itself is also part of the portfolio. It stays simple on purpose: Astro, markdown, clean semantic pages, RSS, structured metadata, and machine-readable entry points for AI systems.
Contact
- GitHub: github.com/nickpizzo
- Email: nick.pizzo@gmail.com