AI Artist - Prompt Engineering

Craft effective prompts for AI text and image generation models.

Core Principles

• Clarity - Be specific, avoid ambiguity

• Context - Set scene, role, constraints upfront

• Structure - Use consistent formatting (markdown, XML tags, delimiters)

• Iteration - Refine based on outputs, A/B test variations

Quick Patterns

LLM Prompts (Claude/GPT/Gemini)

[Role] You are a {expert type} specializing in {domain}. [Context] {Background information and constraints} [Task] {Specific action to perform} [Format] {Output structure - JSON, markdown, list, etc.} [Examples] {1-3 few-shot examples if needed}

Image Generation (Midjourney/DALL-E/Stable Diffusion)

[Subject] {main subject with details} [Style] {artistic style, medium, artist reference} [Composition] {framing, angle, lighting} [Quality] {resolution modifiers, rendering quality} [Negative] {what to avoid - only if supported}

Example: Portrait of a cyberpunk hacker, neon lighting, cinematic composition, detailed face, 8k, artstation quality --ar 16:9 --style raw

References

Load for detailed guidance:

Topic File Description

LLM references/llm-prompting.md

System prompts, few-shot, CoT, output formatting

Image references/image-prompting.md

Style keywords, model syntax, negative prompts

Nano Banana references/nano-banana.md

Gemini image prompting, narrative style, multi-image input

Advanced references/advanced-techniques.md

Meta-prompting, chaining, A/B testing

Domain Index references/domain-patterns.md

Universal pattern, links to domain files

Marketing references/domain-marketing.md

Headlines, product copy, emails, ads

Code references/domain-code.md

Functions, review, refactoring, debugging

Writing references/domain-writing.md

Stories, characters, dialogue, editing

Data references/domain-data.md

Extraction, analysis, comparison

Model-Specific Tips

Model Key Syntax

Midjourney --ar , --style , --chaos , --weird , --v 6.1

DALL-E 3 Natural language, no parameters, HD quality option

Stable Diffusion Weighted tokens (word:1.2) , LoRA, negative prompt

Flux Natural prompts, style mixing, --guidance

Imagen/Veo Descriptive text, aspect ratio, style references

Anti-Patterns

• Vague instructions ("make it better")

• Conflicting constraints

• Missing context for domain tasks

• Over-prompting with redundant details

• Ignoring model-specific strengths/limits