MetaPry™ Academy

Prompt Engineering Academy

Learn prompt engineering by prying prompts open. MetaPry™ helps you understand the metadata around a prompt — its goal, context, constraints, structure, and behavior — so you can build better prompts through guided lessons, examples, quizzes, and practice tasks. Save the prompts you create as you progress through the Academy.

Courses

What You'll Learn

MetaPry teaches prompt engineering by prying prompts open — breaking them into their metadata: goal, task, audience, context, constraints, examples, output format, scoring criteria, failure modes, and maturity level. Each concept below maps to Academy lessons and workshop exercises.

Prompt Anatomy

Break a prompt into its structural parts: goal, task, context, constraints, examples, and output format.

Prompt Intent

Understand what a prompt is actually trying to achieve — the real goal behind the words.

Context Engineering

Provide the right background information so the model understands the world your prompt lives in.

Constraint Design

Set clear boundaries — what to include, what to avoid, how long, what tone, what format.

Output Contracts

Define exactly what the model should return: structure, format, fields, and examples.

Prompt Techniques

Zero-shot, few-shot, chain-of-thought, role-prompting — the tools that shape model behavior.

Prompt Failure Modes

Learn how prompts break: ambiguity, missing context, format drift, and injection vulnerabilities.

Prompt Maturity

Score prompts on a scale from raw request to production-grade — and learn how to level up.

Prompt Testing & Evaluation

Test prompts with real inputs, build scoring rubrics, and iterate until quality is consistent.