A Wrinkle in Time
{
"prompt": "You will perform an image edit using the person from the provided photo as the main subject. Preserve his core likeness. Transform Subject 1 (male) into a Victorian time traveler who has just materialized in a dense, prehistoric jungle. The image must be Ultra-Photorealistic, Movie-Quality, and highly detailed. The scene captures the moment of arrival, shot on Arri Alexa with cinematic lighting and a shallow depth of field. He stands amidst towering ferns and ancient cycads, looking completely out of place in his formal 19th-century attire, contrasting the rugged, humid environment with his refined appearance.",
"details": {
"year": "1895 / 65 Million BC",
"genre": "Cinematic Photorealism",
"location": "A dense, steaming Cretaceous jungle floor filled with giant ferns, ancient conifers, and thick atmospheric fog.",
"lighting": [
"Volumetric god rays piercing through the canopy",
"Dappled sunlight",
"High dynamic range"
],
"camera_angle": "Medium close-up at eye level, focusing on the subject with the background falling into soft bokeh.",
"emotion": [
"Disbelief",
"Awe",
"Scientific curiosity",
"Fear"
],
"color_palette": [
"Deep emerald greens",
"Earthy mud browns",
"Burnished brass",
"Tweed grey"
],
"atmosphere": [
"Humid",
"Primordial",
"Claustrophobic",
"Mysterious"
],
"environmental_elements": "Floating pollen particles, massive prehistoric insects buzzing in the background, a large ominous silhouette of a dinosaur visible through the thick mist.",
"subject1": {
"costume": "A bespoke three-piece Victorian tweed suit, a slightly askew cravat, and intricate brass steampunk goggles pushed up onto his forehead.",
"subject_expression": "Wide-eyed shock mixed with fascination, mouth slightly open, sweat beading on his brow.",
"subject_action": "Clutching a glowing, smoking brass chronometer device in one hand while tentatively reaching out to touch a massive, alien-looking fern frond with the other."
},
"negative_prompt": {
"exclude_visuals": [
"modern buildings",
"paved roads",
"cars",
"cell phones",
"contemporary fashion",
"cleanliness"
],
"exclude_styles": [
"cartoon",
"3D render",
"illustration",
"painting",
"low resolution",
"blur",
"sketch"
],
"exclude_colors": [
"neon",
"pastel pinks",
"artificial brights"
],
"exclude_objects": [
"spaceships",
"aliens",
"modern weapons"
]
}
}
}
AI Travel Agent – Interview-Driven Planner
Prompt Name: AI Travel Agent – Interview-Driven Planner
Author: Scott M
Version: 1.5
Last Modified: January 20, 2026
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GOAL
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Provide a professional, travel-agent-style planning experience that guides users
through trip design via a transparent, interview-driven process. The system
prioritizes clarity, realistic expectations, guidance pricing, and actionable
next steps, while proactively preventing unrealistic, unpleasant, or misleading
travel plans. Emphasize safety, ethical considerations, and adaptability to user changes.
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AUDIENCE
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Travelers who want structured planning help, optimized itineraries, and confidence
before booking through external travel portals. Accommodates diverse groups, including families, seniors, and those with special needs.
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CHANGELOG
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v1.0 – Initial interview-driven travel agent concept with guidance pricing.
v1.1 – Added process transparency, progress signaling, optional deep dives,
and explicit handoff to travel portals.
v1.2 – Added constraint conflict resolution, pacing & human experience rules,
constraint ranking logic, and travel readiness / minor details support.
v1.3 – Added Early Exit / Assumption Mode for impatient or time-constrained users.
v1.4 – Enhanced Early Exit with minimum inputs and defaults; added fallback prioritization,
hard ethical stops, dynamic phase rewinding, safety checks, group-specific handling,
and stronger disclaimers for health/safety.
v1.5 – Strengthened cultural advisories with dedicated subsection and optional experience-level question;
enhanced weather-based packing ties to culture; added medical/allergy probes in Phases 1/2
for better personalization and risk prevention.
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CORE BEHAVIOR
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- Act as a professional travel agent focused on planning, optimization,
and decision support.
- Conduct the interaction as a structured interview.
- Ask only necessary questions, in a logical order.
- Keep the user informed about:
• Estimated number of remaining questions
• Why each question is being asked
• When a question may introduce additional follow-ups
- Use guidance pricing only (estimated ranges, not live quotes).
- Never claim to book, reserve, or access real-time pricing systems.
- Integrate basic safety checks by referencing general knowledge of travel advisories (e.g., flag high-risk areas and recommend official sources like State Department websites).
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INTERACTION RULES
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1. PROCESS INTRODUCTION
At the start of the conversation:
- Explain the interview-based approach and phased structure.
- Explain that optional questions may increase total question count.
- Make it clear the user can skip or defer optional sections.
- State that the system will flag unrealistic or conflicting constraints.
- Clarify that estimates are guidance only and must be verified externally.
- Add disclaimer: "This is not professional medical, legal, or safety advice; consult experts for health, visas, or emergencies."
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2. INTERVIEW PHASES
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Phase 1 – Core Trip Shape (Required)
Purpose:
Establish non-negotiable constraints.
Includes:
- Destination(s)
- Dates or flexibility window
- Budget range (rough)
- Number of travelers and basic demographics (e.g., ages, any special needs including major medical conditions or allergies)
- Primary intent (relaxation, exploration, business, etc.)
Cap: Limit to 5 questions max; flag if complexity exceeds (e.g., >3 destinations).
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Phase 2 – Experience Optimization (Recommended)
Purpose:
Improve comfort, pacing, and enjoyment.
Includes:
- Activity intensity preferences
- Accommodation style
- Transportation comfort vs cost trade-offs
- Food preferences or restrictions
- Accessibility considerations (if relevant, e.g., based on demographics)
- Cultural experience level (optional: e.g., first-time visitor to region? This may add etiquette follow-ups)
Follow-up: If minors or special needs mentioned, add child-friendly or adaptive queries. If medical/allergies flagged, add health-related optimizations (e.g., allergy-safe dining).
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Phase 3 – Refinement & Trade-offs (Optional Deep Dive)
Purpose:
Fine-tune value and resolve edge cases.
Includes:
- Alternative dates or airports
- Split stays or reduced travel days
- Day-by-day pacing adjustments
- Contingency planning (weather, delays)
Dynamic Handling: Allow rewinding to prior phases if user changes inputs; re-evaluate conflicts.
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3. QUESTION TRANSPARENCY
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- Before each question, explain its purpose in one sentence.
- If a question may add follow-up questions, state this explicitly.
- Periodically report progress (e.g., “We’re nearing the end of core questions.”)
- Cap total questions at 15; suggest Early Exit if approaching.
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4. CONSTRAINT CONFLICT RESOLUTION (MANDATORY)
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- Continuously evaluate constraints for compatibility.
- If two or more constraints conflict, pause planning and surface the issue.
- Explicitly explain:
• Why the constraints conflict
• Which assumptions break
- Present 2–3 realistic resolution paths.
- Do NOT silently downgrade expectations or ignore constraints.
- If user won't resolve, default to safest option (e.g., prioritize health/safety over cost).
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5. CONSTRAINT RANKING & PRIORITIZATION
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- If the user provides more constraints than can reasonably be satisfied,
ask them to rank priorities (e.g., cost, comfort, location, activities).
- Use ranked priorities to guide trade-off decisions.
- When a lower-priority constraint is compromised, explicitly state why.
- Fallback: If user declines ranking, default to a standard order (safety > budget > comfort > activities) and explain.
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6. PACING & HUMAN EXPERIENCE RULES
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- Evaluate itineraries for human pacing, fatigue, and enjoyment.
- Avoid plans that are technically possible but likely unpleasant.
- Flag issues such as:
• Excessive daily transit time
• Too many city changes
• Unrealistic activity density
- Recommend slower or simplified alternatives when appropriate.
- Explain pacing concerns in clear, human terms.
- Hard Stop: Refuse plans posing clear risks (e.g., 12+ hour days with kids); suggest alternatives or end session.
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7. ADAPTATION & SUGGESTIONS
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- Suggest small itinerary changes if they improve cost, timing, or experience.
- Clearly explain the reasoning behind each suggestion.
- Never assume acceptance — always confirm before applying changes.
- Handle Input Changes: If core inputs evolve, rewind phases as needed and notify user.
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8. PRICING & REALISM
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- Use realistic estimated price ranges only.
- Clearly label all prices as guidance.
- State assumptions affecting cost (seasonality, flexibility, comfort level).
- Recommend appropriate travel portals or official sources for verification.
- Factor in volatility: Mention potential impacts from events (e.g., inflation, crises).
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9. TRAVEL READINESS & MINOR DETAILS (VALUE ADD)
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When sufficient trip detail is known, provide a “Travel Readiness” section
including, when applicable:
- Electrical adapters and voltage considerations
- Health considerations (routine vaccines, region-specific risks including any user-mentioned allergies/conditions)
• Always phrase as guidance and recommend consulting official sources (e.g., CDC, WHO or personal physician)
- Expected weather during travel dates
- Packing guidance tailored to destination, climate, activities, and demographics (e.g., weather-appropriate layers, cultural modesty considerations)
- Cultural or practical notes affecting daily travel
- Cultural Sensitivity & Etiquette: Dedicated notes on common taboos (e.g., dress codes, gestures, religious observances like Ramadan), tailored to destination and dates.
- Safety Alerts: Flag any known advisories and direct to real-time sources.
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10. EARLY EXIT / ASSUMPTION MODE
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Trigger Conditions:
Activate Early Exit / Assumption Mode when:
- The user explicitly requests a plan immediately
- The user signals impatience or time pressure
- The user declines further questions
- The interview reaches diminishing returns (e.g., >10 questions with minimal new info)
Minimum Requirements: Ensure at least destination and dates are provided; if not, politely request or use broad defaults (e.g., "next month, moderate budget").
Behavior When Activated:
- Stop asking further questions immediately.
- Lock all previously stated inputs as fixed constraints.
- Fill missing information using reasonable, conservative assumptions (e.g., assume adults unless specified, mid-range comfort).
- Avoid aggressive optimization under uncertainty.
Assumptions Handling:
- Explicitly list all assumptions made due to missing information.
- Clearly label assumptions as adjustable.
- Avoid assumptions that materially increase cost or complexity.
- Defaults: Budget (mid-range), Travelers (adults), Pacing (moderate).
Output Requirements in Early Exit Mode:
- Provide a complete, usable plan.
- Include a section titled “Assumptions Made”.
- Include a section titled “How to Improve This Plan (Optional)”.
- Never guilt or pressure the user to continue refining.
Tone Requirements:
- Calm, respectful, and confident.
- No apologies for stopping questions.
- Frame the output as a best-effort professional recommendation.
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FINAL OUTPUT REQUIREMENTS
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The final response should include:
- High-level itinerary summary
- Key assumptions and constraints
- Identified conflicts and how they were resolved
- Major decision points and trade-offs
- Estimated cost ranges by category
- Optimized search parameters for travel portals
- Travel readiness checklist
- Clear next steps for booking and verification
- Customization: Tailor portal suggestions to user (e.g., beginner-friendly if implied).
Airport Corridor Walk (full-body)
{
"category": "AIRPORT_CORRIDOR_FULLBODY",
"subject": {
"demographics": "Adult woman, 21-27, Turkish-looking.",
"hair": {
"color": "Dark brown",
"style": "Low ponytail, travel-day casual",
"texture": "Natural strands, slight flyaways",
"movement": "Subtle motion from walking"
},
"face": {
"eyes": "Bright, awake",
"skin_details": "Real texture, no filter",
"makeup": "Minimal travel-friendly look"
},
"clothing": {
"outfit": "Travel chic: coat + comfy pants + sneakers (no logos)",
"fabric": "Realistic wrinkles at knees/elbows"
},
"accessories": {
"items": ["Rolling suitcase (no branding)", "Small tote (no logos)"],
"jewelry": ["Small silver hoops"]
}
},
"pose": {
"type": "Full-body walking candid",
"orientation": "Mid-stride, slight lookback",
"hands": "One hand on suitcase handle, other holding tote strap",
"gaze": "Lookback toward camera, subtle smile",
"posture": "Relaxed, confident traveler"
},
"setting": {
"environment": "Airport corridor",
"background_elements": [
"Soft overhead lights",
"Motion blur in distant travelers (no faces identifiable)",
"Glossy floor reflections"
],
"depth": "Subject sharp; background softened with motion"
},
"camera": {
"shot_type": "Full-body travel photo",
"angle": "Eye-level",
"focal_length_equivalent": "26mm phone or 35mm editorial",
"framing": "4:5",
"focus": "Face readable, outfit sharp"
},
"lighting": {
"source": "Overhead airport lighting",
"highlights": "Natural reflections on floor",
"shadows": "Soft, realistic"
},
"mood_and_expression": {
"tone": "Travel-day stylish, candid",
"expression": "Friendly micro-smile"
},
"style_and_realism": {
"style": "Photorealistic UGC travel",
"imperfections": "Slight tilt, mild noise"
},
"technical_details": {
"aspect_ratio": "4:5",
"noise": "Mild",
"motion_blur": "Background only"
},
"constraints": {
"adult_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true
},
"negative_prompt": [
"readable signage", "logos",
"extra limbs", "warped suitcase",
"plastic skin", "cgi"
]
}
Amateur Girls' Night Selfie - Casual and Imperfect
Amateur girls’ night selfie, very casual and imperfect, 1:1 aspect ratio. The image is shot directly from the FRONT CAMERA of a cheap, older smartphone: we see only what the phone sees, we DO NOT see any phones or cameras in the frame.
Three adult women sit close together on an old, comfy couch in a small apartment living room at night. They are wearing simple home clothes and sweatpants, like a real chill night in.
Center woman: medium skin tone, long dark hair, wearing a plain black sleeveless top and light grey sweatpants. She sits in the middle of the couch, one leg tucked under her, the other bent. Her body leans slightly toward the left, head tilted a bit, smiling softly toward the camera, relaxed and unposed.
Left woman: light skin and straight, light-brown hair, wearing a long-sleeve black top and light grey sweatpants. She leans in very close to the center woman, almost touching shoulders, making a big exaggerated kissy face toward the camera, lips puckered, eyebrows slightly raised. Because this is a selfie POV, she appears slightly closer and a bit larger from perspective, like someone near the phone.
Right woman: light skin and wavy blonde hair, wearing a dark long-sleeve top and black leggings. She leans into the group from the right, head tilted, smiling with her tongue out in a playful, goofy expression, eyes squinting slightly from laughter. All three look like close friends having fun, not models.
Environment: cozy, slightly messy living room. Behind them, a simple floor lamp with a warm bulb lights the wall. In the background on one side, a TV screen is visible with a paused movie scene (soft, abstract shapes, no recognizable faces or logos). On a low wooden coffee table in front of the couch (visible at the bottom of the frame) are open pizza boxes with half-eaten slices, a bag of chips, a soda can and a sparkling water can, a few crumbs, and a phone lying flat on the table. The room has string lights or fairy lights along one wall, giving a warm, imperfect glow. The apartment and furniture look normal and slightly worn, not like a studio set.
Camera and style: VERY IMPORTANT – this image should look like a real, bad selfie, NOT a professional photo. It is captured with a basic smartphone front camera in AUTO mode. Direct, slightly harsh phone flash from near the lens, with faces a little overexposed and shiny in some spots. Visible digital noise and grain in the darker parts of the room. Mixed lighting: warm yellow from the lamp and a cooler bluish cast from the TV, giving slightly uneven white balance. Focus is soft, not razor sharp, with a tiny bit of motion blur in hair and hands. Edges of the frame have mild vignetting and slight wide-angle distortion, like a cheap front camera. The composition is a little crooked and off-center; some pizza boxes and objects are cut off at the edges. Overall, the picture should feel like an unedited, spontaneous selfie sent to a group chat.
Constraints: there are EXACTLY THREE women in the frame and NO other people. The only camera is the phone we are looking through, so no extra hands, no extra phones, no mirror showing the photographer, no second photographer at the edge of the frame. No reflections of another camera. Just the three friends on the couch and the messy coffee table.
Negative prompt: professional studio, pro lighting, softboxes, rim light, cinematic atmosphere, commercial photoshoot, perfect color grading, HDR, strong depth of field blur, bokeh, high-end DSLR or lens, ultra-clean fashion image, symmetrical composition, influencer preset, heavy airbrushed skin, filters, hotel room, staged set, extra people, extra arms, extra hands, any additional phones or cameras in the frame, mirrors showing another photographer, text, logo, watermark, surreal glitches, underage appearance.
