Prompt Engineering
Stop Guessing or Fall Behind
You change a prompt to fix one case and you do not know what else you just broke. In 30 days you build the system that tests, scores, and versions every prompt you ship: a versioned spec, a 20-case golden set, a calibrated judge, a one-command eval, and a CI gate that blocks a bad change before it reaches a user.
You cannot prove a prompt works by reading about golden sets. You cannot catch a silent regression with a bag of tips. Everyone else describes the system. Nobody makes you run it.
Every template ships in a free companion repo at github.com/regardo911/prompt-system-kit: the spec, the golden set, the judge, the eval config, the CI gate, and the report, plus an emptied copy of all fourteen files to point at your own task.
What You'll Build
The skill did not die. It turned into an engineering discipline with numbers attached.
Turn a loose sentence you already use into a versioned, tested artifact.
Write the standard down before you write another prompt.
Twenty cases that catch a regression before your users do.
A calibrated LLM-as-judge that grades any prompt against your own standard.
One command scores every prompt version side by side.
Read the failure, make the change, prove the fix did not break something else.
A CI regression gate that blocks a bad prompt change before it ships.
A cross-model scorecard that turns a model release into a five-minute check, not a rewrite.
A client-ready eval report worth $2,000 or more. The billable proof a prompt pack cannot compete with.
The line between a prompt problem and a window problem, and how to tell which one you have.
The full plan: a versioned library, an eval on every output, a scorecard you keep current.