ai-artist

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

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

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 | 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 |

• Vague instructions ("make it better")
• Conflicting constraints
• Missing context for domain tasks
• Over-prompting with redundant details
• Ignoring model-specific strengths/limits