Making Large Language Models work for you

The future of AI is one where cultural stakeholders fund the creation of their own foundation models built by local champions. Different parties will prefer culturally compatible models. App developers will have to maintain integrations with a host of LLMs, each built for a different culture; partially to aide in localization and partially as a regulatory requirement to participate in many markets.

UX design leader sharing insights on design, leadership, and product development. Experience at Invoca, Cayuse, Belkin, and Medtronic.

A framework to avoid net negative contribution when using AI at work.

How I made a Steampipe plugin to query WordPress with SQL, then built dashboards to visualize query results — all with LLM assistance.

An evergreen list of technical books, papers, and talks I love.

News Introducing GPT-5.4 | OpenAI OpenAI released their newest update for ChatGPT, GPT-5.4 and GPT-5.4-Pro in both ChatGPT and the API. Notably, GPT-5.4 also unifies the OpenAI model family, combining standard chat and coding-specific models (the prior coding-specific variant, gpt-5.3-codex, has been replaced by gpt-5.4 in Codex). OpenAI also highlight GPT-5.4’s computer use and knowledge work capabilities, shoring up perceived shortcomings relative to competitors (especially Anthropic, who have targeted Enterprise knowledge work).

LinkedIn is rife with the drive-by copy-paste of raw LLM output, and the trend has bled into Discord, Reddit, and other online forums, work chats, and emails. I’m coining this ‘sloppypasta,’ and this is my rant against it. sloppypasta Verbatim LLM output copy-pasted at someone, unread, unrefined, and unrequested. From slop (low-quality AI-generated content) + copypasta (text copied and pasted, often as a meme, without critical thought). It is considered rude because it asks the recipient to do work the sender did not bother to do themselves.

Designing with Language Models