AI Artist - Prompt Engineering

Craft effective prompts for AI text and image generation models.

Core Principles

1. Clarity - Be specific, avoid ambiguity
2. Context - Set scene, role, constraints upfront
3. Structure - Use consistent formatting (markdown, XML tags, delimiters)
4. 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