A night in paris
{
"subject_and_scene": {
"main_subject": "A young man with thick curly brown hair, wearing a sophisticated beige turtleneck sweater and a matching tailored wool blazer, displaying a contemplative and moody expression.",
"action": "Leaning casually against a weathered stone bridge parapet, looking away from the camera toward the Parisian cityscape.",
"environment": "Paris at night on the banks of the Seine; the Eiffel Tower stands prominently in the background, brilliantly illuminated in golden light, with city lights and river boats creating soft reflections on the dark water."
},
"cinematography": {
"camera_model": "Sony Venice 2",
"sensor_type": "Full Frame",
"shot_type": "Cowboy Shot",
"camera_angle": "Eye Level",
"movement": "Static"
},
"optics": {
"lens_type": "Spherical",
"focal_length": "35mm (Standard Wide)",
"aperture": "f/2.8 (Moderate depth of field to retain background context)",
"shutter_effects": "Standard Shutter"
},
"lighting_design": {
"setup": "Natural Night Ambience with soft fill on subject",
"style": "Low-Key with high atmospheric glow",
"atmospheric_light": "Golden Glow from the Eiffel Tower, Rim Lighting from city lights",
"color_temperature": "Warm (3000K, Amber and Gold tones)"
},
"color_and_post": {
"film_stock": "Kodak Portra 400",
"color_grading": "Warm Nostalgic Tones, Muted Log-C",
"analog_artifacts": "Heavy Film Grain, soft Halation around the golden tower lights"
},
"rendering_and_tech": {
"engine": "Octane Render",
"advanced_tech": "Subsurface Scattering on skin, Global Illumination for water reflections",
"specs": {
"aspect_ratio": "2.39:1 (CinemaScope)",
"resolution": "8K, Photorealistic, Hyper-detailed"
}
},
"directorial_style": "Denis Villeneuve (Atmospheric mood and pensive composition)"
}
A retro-styled adventurer takes a pause by a lush jungle riverbank.
{
"image_analysis": {
"environment": {
"type": "Outdoor",
"setting": "Jungle / Tropical Forest / Riverbank",
"details": "Dense vegetation, presence of water with lily pads, mud or dirt bank."
},
"technical_aspects": {
"camera_angle": "Eye-level relative to the crouching subject, slightly side-profile.",
"lens_type": "Telephoto lens (estimated 85mm-135mm)",
"depth_of_field": "Shallow, background and foreground are blurred (bokeh).",
"composition": "Rule of thirds, subject centered but looking back."
},
"lighting": {
"condition": "Natural daylight, dappled sunlight filtering through trees.",
"sources": [
{
"type": "Sunlight",
"angle": "From above and slightly behind the subject (Backlighting/Rim lighting)",
"color": "Warm White / Golden",
"intensity": "High contrast",
"effect_on_objects": "Creates a halo effect on the subject's hair, highlights the shoulder blade and the curve of the back. Causes lens flare/light leaks in the foreground."
}
]
},
"subject": {
"demographics": {
"gender": "Female",
"age_group": "Young Adult (approx. 20-30s)",
"identity": "Anonymized (resembles 1980s aesthetic)"
},
"orientation": {
"body_facing": "Side profile (facing right of frame)",
"head_facing": "Turned left, looking directly at the camera",
"gaze": "Direct eye contact"
},
"emotional_state": {
"expression": "Alert, slightly surprised or candid, neutral.",
"mood": "Wild, naturalistic, slightly vulnerable but composed.",
"sensuality": "Moderate to High (due to attire and pose, but context is action/survival)."
},
"pose": {
"general": "Deep squat / Crouching position.",
"feet_placement": "Left foot flat on the ground (wearing a shoe), right foot tucked behind on toes (barefoot).",
"hand_placement": "Left hand holding a canteen strap near the knee, right arm obscured/resting.",
"visibility": "Full body visible from head to feet."
},
"head_and_face": {
"hair": {
"color": "Blonde",
"style": "Short, layered, messy/shaggy cut (mullet-esque), wet look or styled casually.",
"texture": "Wavy/Straight mix",
"light_interaction": "Strongly back-lit, glowing edges."
},
"ears": "Partially visible through hair.",
"forehead": "Partially covered by bangs.",
"eyes": "Wide, alert.",
"nose": "Straight, defined bridge.",
"mouth": "Lips slightly parted, natural color.",
"chin": "Defined, slightly pointed.",
"structure": "Oval face shape, high cheekbones."
},
"body_type": {
"build": "Slender, athletic, toned.",
"skin_tone": "Fair to medium tan.",
"neck": "Slender, tendons visible due to head turn.",
"shoulders": "Bony, defined.",
"chest": {
"ratio": "Proportional to slender frame.",
"estimated_size": "Small to Medium.",
"bra_status": "No bra (swimsuit support).",
"nipple_visibility": "Not explicitly visible/defined.",
"shape": "Natural side profile."
},
"abdomen": {
"ratio": "Slim, compressed due to crouching.",
"definition": "Smooth."
},
"hips_and_glutes": {
"ratio": "Curvy relative to waist.",
"prominence": "High prominence due to crouching pose and high-cut swimwear.",
"shape": "Rounded."
},
"legs": {
"thighs": "Toned, compressed against calves.",
"knees": "Sharp angle.",
"calves": "Visible, muscular tension."
}
},
"clothing": {
"upper_body": {
"item": "One-piece swimsuit",
"color": "Black",
"material": "Spandex/Lycra (shiny/wet look)",
"style": "Scoop back, thin straps (halter style likely)."
},
"lower_body": {
"item": "Swimsuit bottom (connected)",
"style": "High-cut leg openings, exposing upper thigh and hip bone."
},
"footwear": {
"left_foot": "Saddle shoe (White with black middle section), laced.",
"right_foot": "Barefoot."
}
},
"accessories": {
"items": [
"Canteen (Metal/Silver with black strap)"
]
},
"light_interaction_body": "Highlight on the left shoulder blade, rim light on the back curve, soft shadow on the face, bright highlights on the shin."
},
"objects": [
{
"name": "Canteen / Flask",
"description": "Silver metal container with a strap.",
"purpose": "Prop indicating survival/hiking context.",
"position": "Held in left hand, resting near knee."
},
{
"name": "Shoe (detached)",
"description": "A second saddle shoe appears to be on the ground in the foreground left (partially cropped).",
"purpose": "Implies a casual or changing state.",
"position": "Bottom left corner."
},
{
"name": "Vegetation",
"description": "Ferns, lily pads on water.",
"color": "Green, dark green.",
"position": "Background and right side."
},
{
"name": "Blurred Foreground Grass/Reeds",
"description": "Out-of-focus yellow/brown stalks.",
"purpose": "Adds depth and voyeuristic framing.",
"position": "Crossing the subject's body in the foreground."
}
],
"negative_prompt": "cartoon, 3d render, illustration, drawing, low quality, pixelated, blurry face, distorted hands, extra limbs, bad anatomy, studio background, grey background, urban setting, fully clothed, denim, heavy makeup, mustache, beard, male."
}
}
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.