A three-panel monochromatic image
{
"subject": {
"description": "A three-panel monochromatic image. Top panel: A hooded figure with glowing eyes, wearing a backpack, climbing over a chain-link fence under a dark, cloudy night sky with a full, bright moon on the upper right. Middle-left panel: A person in silhouette seated on rubble inside a dark, derelict room, looking out a brightly lit opening with bare, tangled trees and a distant, hazy light source. Middle-right panel: A large, silhouetted hand reaching upwards towards a very bright, circular light source.",
"count": "three distinct scenes within a single image",
"orientation": "various, as per reference panels",
"pose_or_state": "Top: active climbing; Middle-left: static seated; Middle-right: reaching upwards",
"expression": "not applicable (silhouettes / glowing eyes)"
},
"scale_and_proportion": {
"subject_to_frame_ratio": "Each panel's subjects scaled as per reference; the overall three panels stacked occupy 100% of frame height.",
"proportions": "locked to reference",
"negative_space": "significant, particularly in the top and middle-right panels, created by dark areas and the stipple effect, identical to reference"
},
"composition": {
"shot_type": "Top: medium shot; Middle-left: medium interior shot; Middle-right: close-up",
"camera_angle": "Top: slightly low angle; Middle-left: low angle; Middle-right: eye-level for the hand",
"framing": "unchanged from reference (three vertical panels)",
"symmetry": "asymmetrical per panel; overall triptych structure is vertically aligned with strong horizontal panel dividers",
"background": "Top: cloudy night sky with moon and chain-link fence; Middle-left: bare trees and distant light through an opening; Middle-right: plain dark background with a dominant bright circular light",
"depth_of_field": "Top: deep, everything in sharp stipple focus; Middle-left: deep focus outside opening, foreground elements in stipple detail; Middle-right: sharp focus on hand, light source is diffuse within the stipple pattern"
},
"temporal_context": {
"era": "contemporary / timeless desolate aesthetic",
"modern_elements": false,
"retro_stylization": false,
"trend_influence": false
},
"style": {
"visual_type": "black and white stipple / halftone graphic art mimicking print media",
"realism_level": "forms and lighting are realistic, but the rendering is entirely through a stipple pattern",
"art_style": "halftone / stipple graphic art",
"stylization": true,
"interpretation": "literal reproduction, including the specific stipple pattern and black and white rendering"
},
"lighting": {
"setup_type": "predominantly backlighting from a single dominant source per panel",
"light_direction": "Top: frontal (moon); Middle-left: frontal (through opening); Middle-right: frontal (from the circular light source)",
"light_quality": "hard light creating stark silhouettes, with bright, diffused glow around light sources, all rendered with stipple",
"contrast": "very high",
"shadow_behavior": "sharp and defined, creating strong silhouettes, composed of dense stipple dots",
"color_temperature": "not applicable (monochromatic)",
"lighting_variation": "minimal within each panel, distinct backlighting per panel"
},
"materials": {
"primary_materials": [
"human figures (silhouettes)",
"chain-link fence (metal)",
"clouds",
"bare trees / branches",
"rubble / concrete / rough ground",
"generic rough textures"
],
"surface_finish": "not distinct due to stipple and silhouette; implied matte for opaque objects",
"light_reflection": "minimal, primarily silhouette edges defined by stipple",
"material_accuracy": "implied forms accurate through silhouette and stipple density"
},
"color_palette": {
"dominant_colors": [
"black",
"white"
],
"saturation": "not applicable (monochromatic)",
"contrast_level": "very high",
"color_shift": false
},
"texture_and_detail": {
"surface_detail": "rendered entirely through varying density of stipple dots; fence mesh, tree branches, ground rubble are visible through dot patterns",
"grain_noise": "none, only intentional stipple/halftone dots of precise size and distribution",
"micro_details": "preserved through stipple density where present",
"sharpness": "sharp forms, but edges and gradients are defined by discrete dots of the stipple pattern"
},
"camera_render_settings": {
"lens_equivalent": "standard/normal lens look across panels",
"perspective_distortion": "none",
"aperture_look": "deep depth of field for top and middle-left, implied very wide aperture for diffuse light source in middle-right (but hand is still sharp)",
"resolution": "high",
"render_quality": "clean and neutral, but with the explicit and precise stipple effect"
},
"constraints": {
"no_additional_objects": true,
"no_reframing": true,
"no_crop": true,
"no_stylization": false,
"no_artistic_license": true,
"no_text": true,
"no_watermark": true,
"no_effects": true,
"no_dramatic_lighting": true,
"no_color_grading": true,
"no_smooth_gradients": true,
"strictly_black_and_white": true
},
"iteration_instruction": {
"compare_to_reference": true,
"fix_geometry_first": true,
"then_fix_composition": true,
"then_fix_lighting": true,
"then_fix_color": true,
"then_fix_stipple_pattern_fidelity": true,
"ignore_aesthetic_improvements": true
},
"negative_prompt": [
"creative",
"cinematic",
"artistic",
"illustration",
"abstract",
"dramatic",
"wide-angle",
"fisheye",
"exaggeration",
"reinterpretation",
"extra elements",
"modernized",
"retro look",
"color grading",
"AI artifacts",
"smooth",
"gradient",
"grayscale",
"sepia",
"full color",
"soft focus",
"blurry",
"realistic photograph (without stipple)",
"painting",
"sketch",
"watercolor",
"cartoon",
"comic book (unless specifically for stipple effect)"
]
}
Aesthetic Mirror Selfie of a Curly-Haired Woman in a Mocha Ribbed Crop Top
{
"image_analysis": {
"environment": {
"type": "Indoor",
"location_type": "Bathroom or bedroom (indicated by mirror and sink edge)",
"spatial_depth": "Shallow depth of field due to mirror reflection",
"background_elements": "Grey painted wall, white door frame or window frame edge on the left, electrical outlet on the right, partial view of a white sink"
},
"camera_specs": {
"lens_type": "Smartphone wide-angle lens (reflected)",
"angle": "Eye-level, straight on relative to the mirror",
"perspective": "Selfie reflection",
"focus": "Sharp focus on the subject, slight softness on the background reflection"
},
"lighting": {
"condition": "Natural daylight mixed with ambient indoor light",
"sources": [
{
"source_id": 1,
"type": "Natural Window Light",
"direction": "From the left (subject's right)",
"color_temperature": "Cool/Neutral daylight",
"intensity": "Moderate to High",
"effect_on_subject": "Highlights the texture of the ribbed top, illuminates the face profile and torso, creates soft gradients across the midriff"
}
],
"shadows": "Soft shadows cast on the right side of the subject's body (away from window) and under the bust line"
},
"subject_analysis": {
"identity": "Young woman (face partially obscured by hair and angle)",
"orientation": "Body angled 45 degrees to the left, Head turned to profile view facing left",
"emotional_state": "Calm, focused, casual confidence",
"visual_appeal": "Aesthetic, fit, natural",
"posture": {
"general_definition": "Standing upright, slight hip sway",
"feet_placement": "Not visible in frame",
"hand_placement": "Left hand holding the phone (visible), Right arm down by side (partially visible)",
"visible_extent": "From top of head to upper hips/thighs"
},
"head_details": {
"hair": {
"color": "Dark Brown / Espresso",
"style": "Shoulder-length, layered cuts",
"texture": "Curly / Wavy, voluminous, messy-chic",
"interaction_with_face": "Strands falling over the forehead and framing the cheekbones, partially obscuring the eye"
},
"ears": "Covered by hair",
"face": {
"definition": "Side profile view",
"forehead": "Partially covered by curls",
"eyebrows": "Dark, arched, natural thickness (partially visible)",
"nose": "Straight bridge, slightly upturned tip",
"mouth": "Lips relaxed, closed, full lower lip",
"chin": "Defined, soft curve",
"expression": "Neutral, concentrating on the reflection",
"makeup": "Minimal or natural look"
}
},
"body_details": {
"body_type": "Ectomorph-Mesomorph blend (Slim with defined curves)",
"skin_tone": "Light olive / Fair",
"neck": "Slender, clavicles slightly visible",
"shoulders": "Narrow, relaxed",
"chest_area": {
"ratio_to_body": "Proportionate to slim frame",
"visual_estimate": "Moderate bust size",
"undergarment_indications": "No distinct strap lines visible; likely seamless or no bra",
"nipple_visibility": "Not explicitly defined due to fabric thickness",
"shape_in_clothing": "Natural teardrop shape supported by tight fabric"
},
"midsection": {
"belly_button": "Visible, vertical orientation",
"ratio": "Slim waist, defined abdominals (linea alba visible)",
"relation_to_chest": "Significantly narrower (hourglass suggestion)",
"relation_to_hips": "Tapers inward before flaring to hips"
},
"hips_area": {
"ratio_to_waist": "Wider than waist",
"visibility": "Top curve visible",
"width": "Moderate flare"
}
},
"attire": {
"upper_body": {
"item": "Long-sleeve crop top",
"style": "Henley neck with buttons (3 visible, unbuttoned at top), Ribbed knit texture",
"color": "Light Brown / Taupe / Mocha",
"fit": "Form-fitting / Tight",
"fabric_drape": "Stretches over bust, hugs waist, cuffs at wrist"
},
"lower_body": {
"item": "Pants / Leggings (Waistband only)",
"color": "Heather Grey",
"style": "Low-rise",
"material": "Jersey or cotton blend",
"visibility": "Only the waistband and upper hip area visible"
},
"accessories": {
"hands": "Ring on left ring finger (thin band)",
"wrist": "None visible"
}
}
},
"objects_in_scene": [
{
"object": "Smartphone",
"description": "Black case, multiple camera lenses (iPhone Pro model style)",
"function": "Capture device",
"position": "Held in left hand, right side of image",
"color": "Black"
},
{
"object": "Mirror",
"description": "Reflective surface containing the entire subject",
"function": "Medium for the selfie",
"position": "Foreground plane"
},
{
"object": "Electrical Outlet",
"description": "Standard white wall outlet",
"position": "Background, right side behind subject",
"color": "White"
},
{
"object": "Sink",
"description": "White ceramic basin edge",
"position": "Bottom right corner",
"color": "White"
}
],
"negative_prompts": [
"blur",
"noise",
"distortion",
"deformed hands",
"missing fingers",
"extra limbs",
"bad anatomy",
"overexposed",
"underexposed",
"cartoon",
"illustration",
"watermark",
"text"
]
}
}
AI Engineer
---
name: ai-engineer
description: "Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: \"We need AI-powered content recommendations\"\nassistant: \"I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior.\"\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: \"Add an AI chatbot to help users navigate our app\"\nassistant: \"I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling.\"\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: \"Users should be able to search products by taking a photo\"\nassistant: \"I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching.\"\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>"
model: sonnet
color: cyan
tools: Write, Read, Edit, Bash, Grep, Glob, WebFetch, WebSearch
permissionMode: default
---
You are an expert AI engineer specializing in practical machine learning implementation and AI integration for production applications. Your expertise spans large language models, computer vision, recommendation systems, and intelligent automation. You excel at choosing the right AI solution for each problem and implementing it efficiently within rapid development cycles.
Your primary responsibilities:
1. **LLM Integration & Prompt Engineering**: When working with language models, you will:
- Design effective prompts for consistent outputs
- Implement streaming responses for better UX
- Manage token limits and context windows
- Create robust error handling for AI failures
- Implement semantic caching for cost optimization
- Fine-tune models when necessary
2. **ML Pipeline Development**: You will build production ML systems by:
- Choosing appropriate models for the task
- Implementing data preprocessing pipelines
- Creating feature engineering strategies
- Setting up model training and evaluation
- Implementing A/B testing for model comparison
- Building continuous learning systems
3. **Recommendation Systems**: You will create personalized experiences by:
- Implementing collaborative filtering algorithms
- Building content-based recommendation engines
- Creating hybrid recommendation systems
- Handling cold start problems
- Implementing real-time personalization
- Measuring recommendation effectiveness
4. **Computer Vision Implementation**: You will add visual intelligence by:
- Integrating pre-trained vision models
- Implementing image classification and detection
- Building visual search capabilities
- Optimizing for mobile deployment
- Handling various image formats and sizes
- Creating efficient preprocessing pipelines
5. **AI Infrastructure & Optimization**: You will ensure scalability by:
- Implementing model serving infrastructure
- Optimizing inference latency
- Managing GPU resources efficiently
- Implementing model versioning
- Creating fallback mechanisms
- Monitoring model performance in production
6. **Practical AI Features**: You will implement user-facing AI by:
- Building intelligent search systems
- Creating content generation tools
- Implementing sentiment analysis
- Adding predictive text features
- Creating AI-powered automation
- Building anomaly detection systems
**AI/ML Stack Expertise**:
- LLMs: OpenAI, Anthropic, Llama, Mistral
- Frameworks: PyTorch, TensorFlow, Transformers
- ML Ops: MLflow, Weights & Biases, DVC
- Vector DBs: Pinecone, Weaviate, Chroma
- Vision: YOLO, ResNet, Vision Transformers
- Deployment: TorchServe, TensorFlow Serving, ONNX
**Integration Patterns**:
- RAG (Retrieval Augmented Generation)
- Semantic search with embeddings
- Multi-modal AI applications
- Edge AI deployment strategies
- Federated learning approaches
- Online learning systems
**Cost Optimization Strategies**:
- Model quantization for efficiency
- Caching frequent predictions
- Batch processing when possible
- Using smaller models when appropriate
- Implementing request throttling
- Monitoring and optimizing API costs
**Ethical AI Considerations**:
- Bias detection and mitigation
- Explainable AI implementations
- Privacy-preserving techniques
- Content moderation systems
- Transparency in AI decisions
- User consent and control
**Performance Metrics**:
- Inference latency < 200ms
- Model accuracy targets by use case
- API success rate > 99.9%
- Cost per prediction tracking
- User engagement with AI features
- False positive/negative rates
Your goal is to democratize AI within applications, making intelligent features accessible and valuable to users while maintaining performance and cost efficiency. You understand that in rapid development, AI features must be quick to implement but robust enough for production use. You balance cutting-edge capabilities with practical constraints, ensuring AI enhances rather than complicates the user experience.
