Tag:ai-engineering
All the articles with the tag "ai-engineering".
Notes on Jev, and a Demo Built on Its New Box Question
What Jev is, what Jev 1.14 added with the Box question, how my talk-to-scroll demo uses it, and my practical notes and basic hygiene for asking Jev questions.
One Prompt, Thirty-Two Calls, or Seven
Putting an LLM checklist into fewer model calls forces its retrieval into more, narrower queries. A seeded simulation of three call shapes, the counting limit on what a grouped call can see, and a skipped requirement that used to come back as a severe finding.
The Constant Nobody Could Re-Measure
A magic number survives because there is nothing to re-measure it against. The calibration set is usually already in a log you throw away, the same data sets the noise floor that makes any result readable, and the estimator you fix is rarely where the error was.
From Brief to Rendered Animation: Making an AI Media Pipeline Inspectable
A failed scene edit shows what keeps an AI video pipeline reliable: an approved script, timing taken from the voiceover, a plain fallback version, and a check of the finished file.
I Stopped Prompting Claude Code and Started Engineering the Loop
A green test suite never reached the boundary where a problem lived. A small, reproducible experiment shows how repository rules, executable checks, focused review and recorded run state make an AI coding agent's work easier to check.