The Learning Prompt Engineering Blog
Practical articles on how AI models process prompts, methods that often improve your results, and how those techniques hold up in real tasks. Organized into three areas — getting started, techniques, and real-world use — so you can start wherever’s useful to you.
What's New
Fresh content across all three topic areas — published on a rolling schedule.
The 4 Components of a Well-Formed Prompt Explained
Understand the four building blocks of any effective prompt: instruction, input, context, and output format. Learn what each one does and when to use it.
Zero-Shot, One-Shot, Few-Shot Which Prompt Type Should You Use
Compare zero-shot, one-shot, and few-shot prompting with real examples. Learn which prompt type tends to work best for different tasks and output needs.
How to Use Context and Output Format to Improve AI Results
Focuses on the two most commonly skipped prompt components — context and output format — with before-and-after examples showing how adding each one tends to improve output quality.
AI Model Settings Explained Temperature, Max Tokens, and Top-P
Explains the three most common model output settings — temperature, max tokens, and top-p — covering what each controls, how low and high values tend to affect output, and when these settings matter.
Finding the right level of detail in prompts
Prompt specificity is a dial, not a target. Explore three levels of detail on the same prompt and learn how to calibrate your prompts for more consistent AI outputs.
The 7-Element Prompt Framework for Beginners
A step-by-step walkthrough of the seven-element prompt framework — Role, Task, Context, Format, Tone, Constraints, and Examples — showing how to build a structured prompt from scratch.
Getting Started
New to prompt engineering? This is where you begin. You'll learn what prompts actually are, how AI models process them, and the foundational concepts that make everything else click.
The 4 Components of a Well-Formed Prompt Explained
Understand the four building blocks of any effective prompt: instruction, input, context, and output format. Learn what each one does and when to use it.
Zero-Shot, One-Shot, Few-Shot Which Prompt Type Should You Use
Compare zero-shot, one-shot, and few-shot prompting with real examples. Learn which prompt type tends to work best for different tasks and output needs.
How to Use Context and Output Format to Improve AI Results
Focuses on the two most commonly skipped prompt components — context and output format — with before-and-after examples showing how adding each one tends to improve output quality.
AI Model Settings Explained Temperature, Max Tokens, and Top-P
Explains the three most common model output settings — temperature, max tokens, and top-p — covering what each controls, how low and high values tend to affect output, and when these settings matter.
Finding the right level of detail in prompts
Prompt specificity is a dial, not a target. Explore three levels of detail on the same prompt and learn how to calibrate your prompts for more consistent AI outputs.
The 7-Element Prompt Framework for Beginners
A step-by-step walkthrough of the seven-element prompt framework — Role, Task, Context, Format, Tone, Constraints, and Examples — showing how to build a structured prompt from scratch.
Prompt Techniques
Practical methods for writing better prompts. Zero-shot, few-shot, the seven-element framework, iterative refinement, A/B testing — each one explained clearly with examples you can apply right away.
The 4 Components of a Well-Formed Prompt Explained
Understand the four building blocks of any effective prompt: instruction, input, context, and output format. Learn what each one does and when to use it.
Zero-Shot, One-Shot, Few-Shot Which Prompt Type Should You Use
Compare zero-shot, one-shot, and few-shot prompting with real examples. Learn which prompt type tends to work best for different tasks and output needs.
How to Use Context and Output Format to Improve AI Results
Focuses on the two most commonly skipped prompt components — context and output format — with before-and-after examples showing how adding each one tends to improve output quality.
AI Model Settings Explained Temperature, Max Tokens, and Top-P
Explains the three most common model output settings — temperature, max tokens, and top-p — covering what each controls, how low and high values tend to affect output, and when these settings matter.
Finding the right level of detail in prompts
Prompt specificity is a dial, not a target. Explore three levels of detail on the same prompt and learn how to calibrate your prompts for more consistent AI outputs.
The 7-Element Prompt Framework for Beginners
A step-by-step walkthrough of the seven-element prompt framework — Role, Task, Context, Format, Tone, Constraints, and Examples — showing how to build a structured prompt from scratch.
Real World Use
Prompt engineering applied to real work — content creation, business automation, professional workflows, and visual tools. The focus here is practical: what to prompt, how to structure it, and what to do when the output needs work.
The 4 Components of a Well-Formed Prompt Explained
Understand the four building blocks of any effective prompt: instruction, input, context, and output format. Learn what each one does and when to use it.
Zero-Shot, One-Shot, Few-Shot Which Prompt Type Should You Use
Compare zero-shot, one-shot, and few-shot prompting with real examples. Learn which prompt type tends to work best for different tasks and output needs.
How to Use Context and Output Format to Improve AI Results
Focuses on the two most commonly skipped prompt components — context and output format — with before-and-after examples showing how adding each one tends to improve output quality.
AI Model Settings Explained Temperature, Max Tokens, and Top-P
Explains the three most common model output settings — temperature, max tokens, and top-p — covering what each controls, how low and high values tend to affect output, and when these settings matter.
Finding the right level of detail in prompts
Prompt specificity is a dial, not a target. Explore three levels of detail on the same prompt and learn how to calibrate your prompts for more consistent AI outputs.
The 7-Element Prompt Framework for Beginners
A step-by-step walkthrough of the seven-element prompt framework — Role, Task, Context, Format, Tone, Constraints, and Examples — showing how to build a structured prompt from scratch.