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Visual Guides/Prompt Engineering Patterns
Applied AI

Prompt Engineering Patterns

Six reusable patterns for writing prompts that reliably produce the output you want. Each pattern comes with an editable live demo.

Patterns viewed: 1/4
Prompt anatomy viewed

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Pattern Gallery

Live Pattern Demo

Prompt Editor

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This is the instruction

→

This is the input

→

This is the output cue

Simulated AI Response

NEGATIVE

Response is pre-defined to illustrate the expected output of this pattern.

Prompt Anatomy

A well-structured prompt has up to 6 layers. Not every prompt needs all of them.

1
[System instruction]← sets role and rules
2
[Context / Background]← relevant information
3
[Examples]← few-shot demonstrations
4
[Task instruction]← what to do
5
[Input]← the actual data
6
[Output format]← how to respond

Common Mistakes

Key Insight

Prompt engineering is a skill with diminishing returns. For production systems, RAG + few-shot examples often outperforms elaborate prompt engineering. Know when to prompt vs when to fine-tune.

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AI Agents

How autonomous agents plan, use tools, and loop until a goal is reached.

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