Some tools I've built

I’ve created a subpage on this site dedicated to various tools (the subset of them that are mature enough for me to dare mention them) -> you can find them here. I do not commit to any level of regular maintenance of them, they get fixed when they need fixing (which is usually when I’m in a rush to do something and I realize everything is broken). Occasionally these things find a life of their own, I’ve created a simple script to have data retention policies in free version of mattermost in January 2018 for a project I was consulting on and promptly forgot about it. Over the years it appeared that several people found it rather useful - it got regular updates, support for additional database type and more. That is a long way of saying feel free to submit a PR.

November 28, 2025

How to run goose with confidential AI

A quick tutorial for people who want to run goose but want it to keep your data confidential you generally have two options. First its to buy a good gpu to run a model locally, the second one is use advancement in trusted execution environments and use confidential AI backend with it. How to do it Go to PrivateMode and create an account and an API key. Then, set the environment variable PRIVATE_MODE_API_KEY to your API key. You can do this in your terminal with the following command: ...

August 8, 2025

quickly accessing llama3.2 from a terminal (or any other model)

I spend a considerable amount of my time in terminal(s) and I’ve gotten used to incorporating large language models into my workflow. But occasionally its just too annoying to switch over to a browser to ask it something. My previous solution for that was that I had a telegram bot that I’d chat with (which was convenient and faster than web) but I felt something was missing. And today with my procrastination spiking I’ve finally solved it! ...

October 18, 2024

AI blogs and resource

In a world of explosive amount of content about AI and where NOT having an AI newsletter has become a rarity there are a few authors and sites I like to read for their more thoughtful and long form content: Recommended Resources The following sites are highlighted for substantive coverage: gwern.net - Features deep learning content alongside other topics ym2132.github.io - Focuses on extended posts about generative adversarial networks simonwillison.net - Combines Python and AI topics retrochronic.com - Explores intersections of AI and philosophy Video Content For visual learners, the author recommends the AI Explained YouTube channel as an additional resource. ...

September 26, 2024