TT(O)M

A Great Tool Made Easy ComfyUI has become one of the most flexible front ends for running generative AI models locally. Its node-based workflow system allows users to build anything from simple image generation pipelines to highly sophisticated audio, video, and multimodal workflows. The project is also exceptionally well supported. ComfyUI benefits from a large and active community, extensive official documentation, and a built-in Manager for discovering and installing custom nodes. On top of that, there is an enormous collection of community-created workflows, tutorials, and videos covering everything from a first text-to-image generation to advanced production pipelines. Whatever you're trying to accomplish, someone has usually already published both a workflow and a guide for it. Getting started with AI locally has arguably never been easier. Personally, I run the ComfyUI Easy Install distribution, which packages ComfyUI into a portable, preconfigured environment that c...

A practitioner's analysis of friction points, mental model mismatches, and the path forward for serious Power Apps development. Introduction Microsoft Power Apps occupies a peculiar position in the development landscape. It is simultaneously one of the most accessible application platforms ever created and one of the most frustrating platforms to push beyond its comfort zone. For CRUD forms, approval workflows, and data-entry tools, it delivers on its promise with remarkable speed. But the moment a developer attempts something that requires algorithmic thinking—game logic, state machines, or complex validation engines—the platform’s seams become visible. This article examines those seams through the lens of two implementations I built: a sliding picture puzzle and a Wordle game, both created in Power Apps canvas apps. These are not typical Power Apps use cases, and that is precisely the point. They expose where the platform’s design philosophy creates unnecessary friction for t...