A broken, soul-crushed medieval knight
{
"subject_and_scene": {
"main_subject": "A broken, soul-crushed medieval knight kneeling in defeat, his eyes glazed with tears and trauma; his shattered armor is caked in dried mud and fresh blood. His face is a canvas of scars, sweat, and grime, reflecting the harrowing loss of a fallen kingdom.",
"action": "Gripping his sword's hilt with trembling hands as if it's the only thing keeping him from collapsing; his chest heaving in rhythmic, heavy gasps of despair.",
"environment": "A desolate, windswept battlefield at the edge of an ancient forest; a hazy, ethereal fog rolls over the ground, partially obscuring the distant, smoldering ruins of a castle. Petals or embers are caught in the wind, drifting past his face."
},
"cinematography": {
"camera_model": "Sony Venice 2",
"sensor_type": "Full Frame",
"shot_type": "Medium Close-Up (Vertical composition focusing on the knight's torso and face, but keeping his kneeling posture visible)",
"camera_angle": "Low Angle (Slightly tilted Dutch Angle to evoke a sense of psychological instability and sorrow)",
"movement": "Slow 'Dolly In' combined with a 'Snorricam' effect to make the knight's struggle feel claustrophobic and intensely personal"
},
"optics": {
"lens_type": "Anamorphic (to create emotional 'dream-like' fall-off and dramatic flares)",
"focal_length": "50mm (providing a natural but emotionally focused perspective)",
"aperture": "f/1.4 (Extremely shallow depth of field, blurring everything but his tear-filled eyes)",
"shutter_effects": "180-degree shutter for natural motion blur on the wind-blown debris, emphasizing the 'slow-motion' feeling of grief"
},
"lighting_design": {
"setup": "Split Lighting to hide half of his face in darkness, symbolizing his internal conflict and loss",
"style": "Low-Key with high emotional contrast",
"atmospheric_light": "Blue Hour fading into darkness, with a single warm 'God Ray' piercing through the clouds to highlight his face like a spotlight",
"color_temperature": "Ice-cold Blue tones for the environment, contrasting with the Warm, flickering orange light from distant fires"
},
"color_and_post": {
"film_stock": "Kodak Portra 160 (Pulled 1 stop for lower contrast and softer, more melancholic skin tones)",
"color_grading": "Bleach Bypass (Desaturated colors, heavy blacks, emphasizing the grittiness and sorrow)",
"analog_artifacts": "Heavy Halation around the highlights and subtle 'Gate Weave' to mimic a vintage 35mm war film aesthetic"
},
"rendering_and_tech": {
"engine": "Octane Render",
"advanced_tech": "Highly detailed skin pore texture with Ray Traced tear droplets and wet blood reflections",
"specs": {
"aspect_ratio": "9:16 (Vertical Cinema)",
"resolution": "8K Photorealistic"
}
},
"directorial_style": "Denis Villeneuve (Atmospheric haze and overwhelming silence) mixed with Mel Gibson (Gritty, visceral realism of war)"
}
A Clay-Crafted City: Mini [CITY NAME] World
Generate a whimsical miniature world featuring ${landmark_name} crafted entirely from colorful modeling clay. Every element (buildings, trees, waterways, and urban features) should appear hand-sculpted with visible fingerprints and organic clay textures. Use a playful, childlike style with vibrant colors: bright azure sky, puffy cream clouds, emerald trees, and buildings in warm yellows, oranges, reds, and blues. The handmade quality should be evident in every surface and gentle curve. Capture from a wide perspective showcasing the entire miniature landscape in a harmonious, joyful composition.
At the top-center, add the city name ${city_name} in a clean, bold, friendly rounded font that matches the playful clay aesthetic. The text should be clearly readable and high-contrast against the sky, with subtle depth as if it is also made from clay (slight 3D clay lettering), but keep it simple and not overly detailed.
Include no other text, words, or signage anywhere else in the scene. Only sculptural clay elements should define the location through recognizable architectural features. 1080x1080 dimension.
Aaa
ROLE: Senior Node.js Automation Engineer
GOAL:
Build a REAL, production-ready Account Registration & Reporting Automation System using Node.js.
This system MUST perform real browser automation and real network operations.
NO simulation, NO mock data, NO placeholders, NO pseudo-code.
SIMULATION POLICY:
NEVER simulate anything.
NEVER generate fake outputs.
NEVER use dummy services.
All logic must be executable and functional.
TECH STACK:
- Node.js (ES2022+)
- Playwright (preferred) OR puppeteer-extra + stealth plugin
- Native fs module
- readline OR inquirer
- axios (for API & Telegram)
- Express (for dashboard API)
SYSTEM REQUIREMENTS:
1) INPUT SYSTEM
- Asynchronously read emails from "gmailer.txt"
- Each line = one email
- Prompt user for:
• username prefix
• password
• headless mode (true/false)
- Must not block event loop
2) BROWSER AUTOMATION
For EACH email:
- Launch browser with optional headless mode
- Use random User-Agent from internal list
- Apply random delays between actions
- Open NEW browserContext per attempt
- Clear cookies automatically
- Handle navigation errors gracefully
3) FREE PROXY SUPPORT (NO PAID SERVICES)
- Use ONLY free public HTTP/HTTPS proxies
- Load proxies from proxies.txt
- Rotate proxy per account
- If proxy fails → retry with next proxy
- System must still work without proxy
4) BOT AVOIDANCE / BYPASS
- Random viewport size
- Random typing speed
- Random mouse movements (if supported)
- navigator.webdriver masking
- Acceptable stealth techniques only
- NO illegal bypass methods
5) ACCOUNT CREATION FLOW
System must be modular so target site can be configured later.
Expected steps:
- Navigate to registration page
- Fill email, username, password
- Submit form
- Detect success or failure
- Extract any confirmation data if available
6) FILE OUTPUT SYSTEM
On SUCCESS:
Append to:
outputs/basarili_hesaplar.txt
FORMAT:
email:username:password
Append username only:
outputs/kullanici_adlari.txt
Append password only:
outputs/sifreler.txt
On FAILURE:
Append to:
logs/error_log.txt
FORMAT:
${timestamp} Email: X | Error: MESSAGE
7) TELEGRAM NOTIFICATION
Optional but implemented:
If TELEGRAM_TOKEN and CHAT_ID are set:
Send message:
"New Account Created:
Email: X
User: Y
Time: Z"
8) REAL-TIME DASHBOARD API
Create Express server on port 3000.
Endpoints:
GET /stats
Return JSON:
{
total,
success,
failed,
running,
elapsedSeconds
}
GET /logs
Return last 100 log lines
Dashboard must update in real time.
9) FINAL CONSOLE REPORT
After all emails processed:
Display console.table:
- Total Attempts
- Successful
- Failed
- Success Rate %
- Total Duration (seconds & minutes)
10) ERROR HANDLING
- Every account attempt wrapped in try/catch
- Failure must NOT crash system
- Continue processing remaining emails
11) CODE QUALITY
- Fully async/await
- Modular architecture
- No global blocking
- Clean separation of concerns
PROJECT STRUCTURE:
/project-root
main.js
gmailer.txt
proxies.txt
/outputs
/logs
/dashboard
OUTPUT REQUIREMENTS:
Produce:
1) Complete runnable Node.js code
2) package.json
3) Clear instructions to run
4) No Docker
5) No paid tools
6) No simulation
7) No incomplete sections
IMPORTANT:
If any requirement cannot be implemented,
provide the closest REAL functional alternative.
Do NOT ask questions.
Do NOT generate explanations only.
Generate FULL WORKING CODE.
Academic analyst and exam pattern extractor
ROLE: Act as an expert academic analyst and exam pattern extractor.
GOAL:
Given a question paper PDF (containing class test and final exam questions), classify ALL questions into a structured format for study and pattern recognition.
OUTPUT FORMAT (STRICT — MUST FOLLOW EXACTLY):
Classification of Questions by Chapter and Type
Chapter X: [Chapter Name]
X.1 Definition & Conceptual Questions
[Year/Exam].[Question No]: [Full question text]
[Year/Exam].[Question No]: [Full question text]
X.2 Mathematical/Analytical Questions
[Year/Exam].[Question No]: [Full question text]
...
X.3 Algorithm / Procedural Questions
...
X.4 Programming / Implementation Questions
...
X.5 Comparison / Justification Questions
...
--------------------------------------------------
INSTRUCTIONS:
1. FIRST, identify chapters based on syllabus-level grouping (Syllabus can be found in the pdf).
2. THEN group questions under appropriate chapters.
3. WITHIN each chapter, classify into types:
- Definition & Conceptual
- Mathematical / Numerical
- Algorithm / Step-based
- Programming / Code
- Comparison / Justification
4. PRESERVE original wording of each question. (Paraphrase to shorten without losing context)
5. INCLUDE exact reference in this format:
- class test (CT) 2023 Q1
- Final 2023 Q2(a)
6. DO NOT skip any question.
7. Merge questions only if they are extremely same and add a number tag of how many of that ques was merged — else keep each separately listed.
8. DO NOT explain anything — ONLY classification output.
9. Maintain clean spacing and readability.
10. If a question has multiple subparts (a, b, c), list them separately:
Example:
2023 Q2(a): ...
2023 Q2(b): ...
11. If chapter is unclear, infer based on topic intelligently.
12. Prioritize accuracy over speed.
13. Add frequency tags like [Repeated X times], [High Frequency]
14. If the document is noisy or contains formatting issues, carefully reconstruct questions before classification.