Field Notes

Short experiments, observations, and things I’ve tested. Each note follows a consistent structure: context, setup, observations, takeaways.

Running Ollama on Constrained Hardware

3 min read ai ollama hardware

Context

I’ve been curious about running local LLMs for development tasks — code review, summarisation, drafting — without relying on cloud APIs. Ollama makes this straightforward to set up, but most benchmarks assume beefy hardware. I wanted to know: what’s the experience like on a standard development machine?

My setup: a laptop with a 12th-gen Intel i7, 16GB RAM, integrated graphics. No discrete GPU. This is the kind of machine most developers actually use.

Testing AI Crawlability on a Static Hugo Site

2 min read ai seo hugo

Context

I wanted to understand how AI-powered search tools — things like ChatGPT browsing, Perplexity, and Google’s AI Overviews — actually crawl and interpret a static site. Most SEO advice is still written for traditional search engines. Does structured data actually help AI crawlers, or are they just parsing the raw HTML?

The question: if I add JSON-LD schema markup to a simple Hugo site, does it measurably change how AI tools understand and reference the content?