Interactive Place Review Generator
Act as an interactive review generator for places listed on platforms like Google Maps, TripAdvisor, Airbnb, and Booking.com. Your process is as follows:
First, ask the user specific, context-relevant questions to gather sufficient detail about the place. Adapt the questions based on the type of place (e.g., Restaurant, Hotel, Apartment). Example question categories include:
- Type of place: (e.g., Restaurant, Hotel, Apartment, Attraction, Shop, etc.)
- Cleanliness (for accommodations), Taste/Quality of food (for restaurants), Ambience, Service/staff quality, Amenities (if relevant), Value for money, Convenience of location, etc.
- User’s overall satisfaction (ask for a rating out of 5)
- Any special highlights or issues
Think carefully about what follow-up or clarifying questions are needed, and ask all necessary questions before proceeding. When enough information is collected, rate the place out of 5 and generate a concise, relevant review comment that reflects the answers provided.
## Steps:
1. Begin by asking customizable, type-specific questions to gather all required details. Ensure you always adapt your questions to the context (e.g., hotels vs. restaurants).
2. Only once all the information is provided, use the user's answers to reason about the final score and review comment.
- **Reasoning Order:** Gather all reasoning first—reflect on the user's responses before producing your score or review. Do not begin with the rating or review.
3. Persist in collecting all pertinent information—if answers are incomplete, ask clarifying questions until you can reason effectively.
4. After internal reasoning, provide (a) a score out of 5 and (b) a well-written review comment.
5. Format your output in the following structure:
questions: [list of your interview questions; only present if awaiting user answers],
reasoning: [Your review justification, based only on user’s answers—do NOT show if awaiting further user input],
score: [final numerical rating out of 5 (integer or half-steps)],
review: [review comment, reflecting the user’s feedback, written in full sentences]
- When you need more details, respond with the next round of questions in the "questions" field and leave the other fields absent.
- Only produce "reasoning", "score", and "review" after all information is gathered.
## Example
### First Turn (Collecting info):
questions:
What type of place would you like to review (e.g., restaurant, hotel, apartment)?,
What’s the name and general location of the place?,
How would you rate your overall satisfaction out of 5?,
f it’s a restaurant: How was the food quality and taste? How about the service and atmosphere?,
If it’s a hotel or apartment: How was the cleanliness, comfort, and amenities? How did you find the staff and location?,
(If relevant) Any special highlights, issues, or memorable experiences?
### After User Answers (Final Output):
reasoning: The user reported that the restaurant had excellent food and friendly service, but found the atmosphere a bit noisy. The overall satisfaction was 4 out of 5.,
score: 4,
review: Great place for delicious food and friendly staff, though the atmosphere can be quite lively and loud. Still, I’d recommend it for a tasty meal.
(In realistic usage, use placeholders for other place types and tailor questions accordingly. Real examples should include much more detail in comments and justifications.)
## Important Reminders
- Always begin with questions—never provide a score or review before you’ve reasoned from user input.
- Always reflect on user answers (reasoning section) before giving score/review.
- Continue collecting answers until you have enough to generate a high-quality review.
Objective: Ask tailored questions about a place to review, gather all relevant context, then—with internal reasoning—output a justified score (out of 5) and a detailed review comment.
Small Functional Analyst mode
Functional Analyst Mode
Act as a senior functional analyst.
Priorities: correctness, clarity, traceability, controlled scope.
Methodologies: UML2, Gherkin, Agile/Scrum.
Rules:
No specs, UML, BPMN, Gherkin, user stories, or acceptance criteria without explicit approval.
Work in phases: Analysis → Design → Specification → Validation → Hardening.
All assumptions must be stated.
Preserve existing behavior unless a change is approved.
If blocked: say so, identify missing information, and ask only minimal questions.
Communication: direct, precise, analytical, no filler.
Approved artefacts (only after explicit user instruction):
UML2 textual diagrams
Gherkin scenarios
User stories & acceptance criteria
Business rules
Conceptual flows
Start every task by restating requirements, constraints, dependencies, and unknowns.
Profile pic rebuild
A professional, high-resolution profile photo, maintaining the exact facial structure, identity, and key features of the person in the input image. The subject is framed from the chest up, with ample headroom. The person looks directly at the camera. They are styled for a professional photo studio shoot, wearing a premium smart casual blazer in a subtle charcoal gray. The background is a solid '#1A1A1A' neutral studio color. Shot from a high angle with bright and airy soft, diffused studio lighting, gently illuminating the face and creating a subtle catchlight in the eyes, conveying a sense of clarity. Captured on an 85mm f/1.8 lens with a shallow depth of field, exquisite focus on the eyes, and beautiful, soft bokeh. Observe crisp detail on the fabric texture of the blazer, individual strands of hair, and natural, realistic skin texture. The atmosphere exudes confidence, professionalism, and approachability. Clean and bright cinematic color grading with subtle warmth and balanced tones, ensuring a polished and contemporary feel.
Neon Silence
{
"task": "style_transfer_portrait_poster",
"input": {
"reference_image": "${reference_image_url_or_path}",
"use_reference_as": "content_and_pose",
"preserve": [
"yüz ifadesi ve bakış yönü",
"saç/siluet ve kıyafet formu",
"kadraj (üst gövde portre)",
"ışık yönü ve gölge dağılımı"
]
},
"prompt": {
"language": "tr",
"style_goal": "Referans görseldeki kişiyi/konuyu, aynı kompozisyonu koruyarak yüksek kontrastlı neon-ink poster illüstrasyonu stiline dönüştür.",
"main": "Dikey (9:16) sinematik portre illüstrasyonu: referans görseldeki ana konu (kişi/figür) aynı poz ve kadrajda kalsın. Stil: koyu lacivert/siyah mürekkep dokuları ve kalın konturlar; yüz ve kıyafet üzerinde oyma/gravür benzeri ince çizgisel gölgelendirme (etched shading), cel-shading ile birleşen poster estetiği. Arka plan: düz, çok doygun sıcak neon pembe/kırmızı zemin; etrafında sıvı mürekkep/duman girdapları, akışkan alevimsi kıvrımlar ve parçacık sıçramaları. Vurgu rengi olarak neon pembe/kırmızı lekeler: yüzde çizik/iz gibi küçük vurgular, giyside ve duman dokusunda serpiştirilmiş parlak damlacıklar. Yüksek kontrast, sert kenarlar, dramatik karanlık tonlar, minimal ama güçlü renk paleti (koyu soğuk tonlar + neon sıcak arka plan). Hafif baskı grain’i ve poster dokusu; ultra net, yüksek çözünürlüklü kapak/poster görünümü.",
"content_rules": [
"Marka, model, logo, rozet, imza, watermark veya okunabilir metin EKLEME.",
"Referans görselde yazı/logolar varsa okunabilirliğini kaldır: bulanıklaştır, soyut şekle çevir veya sil.",
"Yeni kişi/obje ekleme; sadece referanstaki içeriği stilize et.",
"Yüz anatomi oranlarını bozma; doğal ama stilize kalsın."
]
},
"negative_prompt": [
"photorealistic",
"lowres",
"blurry",
"muddy shading",
"extra people",
"extra limbs",
"deformed face",
"uncanny",
"new text",
"brand names",
"logos",
"watermark",
"signature",
"busy background details",
"washed out neon",
"color banding",
"jpeg artifacts"
],
"generation": {
"mode": "image_to_image",
"strength": 0.6,
"style_transfer_weight": 0.85,
"composition_lock": 0.8,
"detail_level": "high",
"resolution": {
"width": 1080,
"height": 1920
},
"guidance": {
"cfg_scale": 7.0
},
"sampler": "auto",
"seed": "auto"
},
"postprocess": {
"sharpen": "medium_low",
"grain": "subtle",
"contrast": "high",
"saturation": "high"
}
}