Stealth Models
7 minStealth AI models hide behind generic branding, vague claims, and selective demos, which makes evaluation much harder than it should be.
Essays tagged Development from Jonathan R Reed on AI security, product engineering, design, tools, systems work, research notes, and build lessons.
This archive groups writing by practical theme rather than by publication format. Posts tagged Development include build notes, product observations, security lessons, design tradeoffs, research summaries, and experiments that connect software decisions to real deployment constraints.
Use this page as a focused reading path through the site. The articles below are ordered newest first and link back into adjacent topics so you can move from a narrow subject into related AI, security, design, tooling, ethics, and development notes without relying on search alone.
Smaller tag archives are kept because they capture useful side threads across the work. Even when a tag only has a few posts, it gives readers a stable entry point into the ideas, references, and projects that shaped that part of the site.
The goal is not to turn every tag into a broad category page. It is to make the archive useful for people who arrive from search, a shared link, or an old project note and need enough context to know why the topic mattered here clearly before they keep reading.
Stealth AI models hide behind generic branding, vague claims, and selective demos, which makes evaluation much harder than it should be.
I built Ray Clicker inside Raycast, and the project turned into a lesson in UI constraints, save migrations, and building for fun first.
A quick look at learning Manim, using Python to build cleaner technical animations, and where the tool helps explain complex ideas.
Forms look simple until validation, edge cases, browser quirks, and submission state pile up. This is where the real product pain shows up.