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13 posts on ai.

Oregon Providers: use the directory with your AI assistant

If you already talk to Claude or ChatGPT, you can point it at Oregon Providers and ask for a therapist the way you would ask a friend who knows Oregon. Free, read-only, no sign-in.

Every Ulric site. Talk to it.

Coming soon to every UlricCMS build. Connect the AI assistant you already use to your own website, and run it by chat. Nothing publishes without your OK.

The fine print on AI video in 2026: what the terms say

I spent a day reading six AI video licences on the vendors' own pages instead of trusting the model cards. One of them forbids commercial use of the output without written permission. One of them excludes the United States from its territory. And the watermark you can switch off is not the one that matters.

A native investing app in Rust that vetoes its own orders

For the first week of this project's life, an account that came back empty read as approved. Every percentage rule in the risk engine was guarded against dividing by zero, and a guard like that carries a second meaning nobody intends. The trading terminal I open-sourced in June is one long argument that a check which cannot run has to answer no.

MiniMax H3: the Hailuo image-to-video model, in practice

H3 sits third on the image-to-video arena, generates its own stereo audio in the same pass, and turns a client photograph into five seconds of video for forty cents. It also ships open weights under a licence that excludes the United States by name. Both of those are true, and a studio has to hold both.

Which AI video model should a small studio use in 2026

OpenAI removes Sora from its API on 24 September. I re-priced the whole field off vendor rate cards rather than blog posts: what five seconds of video costs on each model, where the arena actually ranks them, and the licence clauses that decide it before the quality does.

World Labs Atlas: what a world model means for AI and physics

World Labs announced Atlas on 1 September 2026, a model trained on 3D Gaussian splats alongside text, images and video. Who built it, what a splat actually is, what the physics benchmarks say, and what a small studio can do with the parts that already ship.

Designing without slop: the rules I gave my AI

Every AI design tool lands in the same place: purple gradients, Inter set large, a centered hero over three feature cards. My answer was not to complain about it but to write a law an agent can be held to. Here is that law, with the real values behind it.

What on-device AI costs: a voice journal at 813.4 MB

Mutterly runs on an iPhone XS, a phone from 2018, because its language model rides inside the download. Apple's own on-device model ships almost nothing extra and starts at the iPhone 15 Pro. Five model years of phones sit between those two floors, and that gap is the whole reason for the size.

Graph RAG vs vector RAG: when the graph earns its keep

Vector retrieval answers the question of what resembles this text, while a graph answers what is connected to it, and the two fail on different questions. The benchmarks say the difference is large on relational questions and close to nothing on lookups, which makes this an accounting decision rather than an architecture debate. What each one costs, the hybrid I actually run, and how to decide before you buy an index.

The questions similarity search can't answer

The assistant on this site can find anything that resembles your question. It cannot yet follow a chain of facts spread across three notes. Why that failure is structural, what a knowledge graph actually is, and how I plan to wire one into the studio's retrieval without tearing out what works.

AI slop, and the files that keep it out of my projects

Every AI project drifts toward the same fonts, the same gradients, the same sentences. Mine do not, because every agent I run inherits a small set of law files. Here is the whole playbook, structure and all.

The agency that never sleeps: running a business on AI loops

Loop engineering is taught for building software. The bigger idea is using the same loop to run the business: point an agent at a number, give it a scoreboard it can check itself, and let it improve your SEO, ads, and AI visibility for months while you sleep.

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