Prompt Engineering Lab
How to Prompt Across Models Without Pretending They Work the Same
Keep the task and success criteria stable while checking each AI provider’s current model-specific guidance.
By Liam · 2026-09-15
Ideas from the community
Prompt engineering Articles
Original ideas, practical lessons, and community writing about Prompt engineering.
Prompt Engineering Lab
Compare Two Prompt Versions Without Fooling Yourself
Hold the task and test set constant, change one instruction, and record tradeoffs when comparing AI prompts.
By Liam · 2026-09-15
Prompt Engineering Lab
Structured Outputs: When a Schema Beats More Prompt Words
Learn when a JSON schema helps AI output, what it cannot guarantee, and how to validate the result in an application.
By Liam · 2026-09-15
Prompt Engineering Lab
What to Put in a Reusable Prompt Template
Learn how to create a prompt template with meaningful variables, a fixed task, examples, and a test log.
By Liam · 2026-09-15
Prompt Engineering Lab
How to Test a Prompt on More Than One Example
Build a tiny test set for a repeatable AI prompt so one good-looking output does not fool you.
By Liam · 2026-09-15
Prompt Engineering Lab
Use Constraints Without Boxing the Model Into Nonsense
Learn which constraints improve an AI prompt and which merely make the output longer or less useful.
By Liam · 2026-09-15
Prompt Engineering Lab
The Prompt Failed. What Should You Change First?
A simple failure diagnosis for AI prompts: wrong task, missing context, weak format, or no test criteria.
By Liam · 2026-09-15
Prompt Engineering Lab
How to Tell Whether an AI Answer Is Any Good
Build a simple rubric for checking AI answers on accuracy, completeness, usefulness, and risk instead of trusting polished prose.
By Liam · 2026-09-15
Prompt Engineering Lab
Make a Bad Prompt Better in Three Edits
A before-and-after prompting method that changes task, context, and test criteria one at a time.
By Liam · 2026-09-15
Prompt Engineering Lab
When to Ask AI a Question Before Asking for an Answer
Learn when a clarifying question improves an AI result and how to limit unnecessary back-and-forth.
By Liam · 2026-09-15
Prompt Engineering Lab
How Much Context Is Enough? Give the Model What Changes the Answer
A practical test for choosing relevant AI prompt context without flooding the model with unnecessary information.
By Liam · 2026-09-15
Prompt Engineering Lab
The Four Pieces of a Useful Prompt: Task, Context, Constraints, and Output
Learn a four-part prompt framework with a real before-and-after example, plus a checklist for deciding what information an AI model needs.
By Liam · 2026-09-15
Prompt Engineering Lab
Turn “Help Me Code” Into a Prompt You Can Test
A practical prompt-engineering example for coding: define the function, behavior, edge cases, and tests before asking AI to write code.
By Liam · 2026-09-15
Prompt Engineering Lab
What Prompt Engineering Actually Is: A Task, a Test, and a Revision
Learn a practical way to write better AI prompts: define the task, test the result, and change one thing at a time. Includes a coding example and reusable checklist.
By Liam · 2026-09-15
Prompt Engineering Lab
Build Your Personal Prompt Notebook
Track prompt versions, tasks, inputs, tests, failures, and next changes so useful AI prompts become repeatable.
By Liam · 2026-09-15