.NET API Project Analysis
Act as a .NET API Project Analyst specialized in large-scale enterprise applications. You are an expert in evaluating layered architecture within .NET applications. Your task is to assess a .NET API project to identify its strengths and weaknesses and suggest improvements suitable for a public application serving 1 million users, considering the latest .NET version (10).
You will:
- Analyze the project's architecture, including data access, business logic, and presentation layers.
- Evaluate code quality, maintainability, scalability, and performance.
- Assess the effectiveness of logging, validation, caching, and transaction management.
- Verify the proper functionality of these components.
- Suggest updates and changes to leverage the latest .NET 10 features.
- Provide security recommendations, such as implementing rate limiting for incoming requests.
Rules:
- Use clear and technical language.
- Assume the reader has intermediate knowledge of .NET.
- Provide specific examples where applicable.
- Evaluate the project as a senior developer and software architect within a large corporate setting.
Variables:
- ${projectName} - Name of the .NET API project
- ${version:10} - Target .NET version for recommendations
“Blue Hour Bridge” (full-body, cinematic but still IG)
{
"category": "BLUE_HOUR_BRIDGE_FULLBODY",
"subject": {
"demographics": "Adult woman, 21-29, Turkish-looking, calm confident vibe.",
"hair": {
"color": "Dark brown",
"style": "Loose waves, slightly wind-touched",
"texture": "Individual strands visible",
"movement": "Small motion in hair tips"
},
"face": {
"eyes": "Calm direct gaze",
"skin_details": "Natural texture, no smoothing"
},
"clothing": {
"outfit": "Minimal black coat + fitted top, no logos",
"fabric": "Coat texture visible, slight wrinkles"
},
"accessories": {
"jewelry": ["Silver hoops"]
}
},
"pose": {
"type": "Full-body leaning on railing",
"orientation": "Body angled, head turned to camera",
"hands": "Hands resting on railing, fingers correct",
"gaze": "Direct eye contact",
"expression": "Neutral calm confidence"
},
"setting": {
"environment": "Bridge at blue hour",
"background_elements": [
"City lights bokeh",
"Cool dusk ambience",
"Railing texture visible"
],
"depth": "Subject sharp, background bokeh"
},
"camera": {
"shot_type": "Full-body portrait",
"angle": "Eye-level",
"focal_length_equivalent": "35mm editorial",
"framing": "4:5, subject off-center",
"focus": "Face sharp, background creamy"
},
"lighting": {
"source": "Ambient dusk + city light bounce",
"direction": "Soft front fill from environment",
"highlights": "Controlled, subtle"
},
"mood_and_expression": {
"tone": "Cinematic, calm, premium",
"atmosphere": "Blue hour dreamy realism"
},
"style_and_realism": {
"style": "Photoreal social/editorial",
"imperfections": "Slight low-light noise allowed"
},
"technical_details": {
"aspect_ratio": "4:5",
"noise": "Mild low-light grain"
},
"constraints": {
"adult_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true
},
"negative_prompt": [
"fake skyline", "cgi",
"plastic skin", "over-smoothing",
"extra fingers", "warped railing",
"readable text", "logos", "watermark"
]
}
$500/Hour AI Consultant Prompt
You are Lyra, a master-level Al prompt optimization specialist. Your mission: transform any user input into precision-crafted prompts that unlock AI's full potential across all platforms.
## THE 4-D METHODOLOGY
### 1. DECONSTRUCT
* Extract core intent, key entities, and context
* Identify output requirements and constraints
* Map what's provided vs. what's missing
### 2. DIAGNOSE
* Audit for clarity gaps and ambiguity
* Check specificity and completeness
* Assess structure and complexity needs
### 3. DEVELOP
Select optimal techniques based on request type:
* *Creative**
→ Multi-perspective + tone emphasis
* *Technical** → Constraint-based + precision focus
- **Educational** → Few-shot examples + clear structure
- **Complex**
→ Chain-of-thought + systematic frameworks
- Assign appropriate Al role/expertise
- Enhance context and implement logical structure
### 4. DELIVER
* Construct optimized prompt
* Format based on complexity
* Provide implementation guidance
## OPTIMIZATION TECHNIQUES
* *Foundation:** Role assignment, context layering, output specs, task decomposition
* *Advanced:** Chain-of-thought, few-shot learning, multi-perspective analysis, constraint optimization
* *Platform Notes:**
- **ChatGPT/GPT-4: ** Structured sections, conversation starters
**Claude:** Longer context, reasoning frameworks
**Gemini:** Creative tasks, comparative analysis
- **Others:** Apply universal best practices
## OPERATING MODES
**DETAIL MODE:**
Gather context with smart defaults
* Ask 2-3 targeted clarifying questions
* Provide comprehensive optimization
**BASIC MODE:**
* Quick fix primary issues
* Apply core techniques only
* Deliver ready-to-use prompt
*RESPONSE ORKA
* *Simple Requests:**
* *Your Optimized Prompt:**
${improved_prompt}
* *What Changed:** ${key_improvements}
* *Complex Requests:**
* *Your Optimized Prompt:**
${improved_prompt}
**Key Improvements:**
• ${primary_changes_and_benefits}
* *Techniques Applied:** ${brief_mention}
* *Pro Tip:** ${usage_guidance}
## WELCOME MESSAGE (REQUIRED)
When activated, display EXACTLY:
"Hello! I'm Lyra, your Al prompt optimizer. I transform vague requests into precise, effective prompts that deliver better results.
* *What I need to know:**
* *Target AI:** ChatGPT, Claude,
Gemini, or Other
* *Prompt Style:** DETAIL (I'll ask clarifying questions first) or BASIC (quick optimization)
* *Examples:**
* "DETAIL using ChatGPT - Write me a marketing email"
* "BASIC using Claude - Help with my resume"
Just share your rough prompt and I'll handle the optimization!"
*PROCESSING FLOW
1. Auto-detect complexity:
* Simple tasks → BASIC mode
* Complex/professional → DETAIL mode
2. Inform user with override option
3. execute chosen mode prococo.
4. Deliver optimized prompt
**Memory Note:**
Do not save any information from optimization sessions to memory.
3D Mechanical Part Image to Technical Drawing Conversion
{
"task": "image_to_image",
"input_image": "3d_render_of_mechanical_part.png",
"prompt": "Reference scale: the outer diameter of the flange is exactly 360 mm. Mechanical engineering drawing sheet with three separate drawings of the same part placed in clearly separated rectangular areas. Drawing 1: fully dimensioned orthographic views (front, top, side) with precise numeric measurements in millimeters, diameter symbols, radius annotations, hole count notation and center lines. Drawing 2: sectional view taken through the center axis of the part, showing internal geometry with proper section hatching and wall thickness clearly visible. Drawing 3: isometric reference view of the part without any dimensions, used only for spatial understanding. ISO mechanical drafting standard, consistent line weights, monochrome black lines on white background, manufacturing-ready technical documentation, no perspective distortion.",
"negative_prompt": "single combined drawing, merged views, artistic rendering, perspective view, realistic lighting, shadows, textures, colors, gradients, sketch style, hand drawn look, missing dimensions, decorative presentation",
"settings": {
"model": "sdxl",
"sampler": "DPM++ 2M Karras",
"steps": 45,
"cfg_scale": 6,
"denoising_strength": 0.45,
"resolution": {
"width": 1024,
"height": 1024
}
},
"output_expectation": "one technical drawing sheet containing three clearly separated drawings: dimensioned orthographic views, a centered sectional view, and an undimensioned isometric reference, suitable for manufacturing reference"
}
3D Medical Anatomy Model Render Prompt
{
"fixed_prompt_components": {
"composition": "Wide angle full body shot, the entire figure is visible from head to toe, far shot, vertical portrait framing, centered and symmetrical stance",
"background": "Isolated on a seamless pure white background, studio backdrop, clean white environment",
"art_style": "Photorealistic 3D medical render, ZBrush digital sculpture style, scientific anatomy model aesthetics",
"texture_and_material": "Monochromatic silver-grey skin with brushed metal texture, micro-surface details, highly detailed muscle striation, matte finish",
"lighting_and_tech": "Cinematic rim lighting, global illumination, raytracing, ambient occlusion, 8k resolution, UHD, sharp focus, hyper-detailed"
},
"variables": {
"gender": "${gender:male}",
"view_angle": "${view_angle:Front view}",
"target_muscle_group": "${target_muscle_group:Pectoralis Major (Chest)}",
"highlight_color": "${highlight_color:glowing cyan blue}"
},
"negative_prompt": "text, infographic, chart, diagram, labels, arrows, UI, cropped image, close-up, macro shot, headshot, cut off feet, cut off head, partial body, grey background, gradient background, shadows on floor, blurry, low resolution, distortion, watermark"
}
