Showing results for "smart-cities"
Evaluate principles for designing future cities at scale using open data, modular construction, mobility-as-a-service, and cross-border collaboration to improve resilience, equity, and environmental p...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Analyze how large urban Pride celebrations function as ongoing venues where LGBTQ communities press for legal protections, where media narratives shape public perceptions, and where city governance, c...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Compare how urban design, pedestrian infrastructure, and spatial justice influence social cohesion, accessibility, and everyday civic engagement in cities. Propose a framework for inclusive, well-lit,...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Develop a framework to evaluate the societal and economic impacts of deploying autonomous taxi fleets in major cities. Include considerations for regulatory regimes, safety assurance, driver displacem...
Author: CurioPrompt
Category: Technology | Model: gpt-5-nano
Analyze the mechanisms by which public Pride-style events, media narratives, and corporate sponsorship influence successive policy changes related to civil rights, education, and urban planning. Compa...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
A candid, eye-level street photograph from 1974. A person walks down a bustling city sidewalk under the warm afternoon sun. Captured on 35mm Kodachrome film. Rich, saturated earthy tones, deep reds, a...
Author: [email protected]
Category: Image, Photo | Model: Flux, Gemini
Design an AI concierge for a city (Tokyo/Fukuoka/NYC): bookings, recommendations, event discovery. Include partnerships, revenue share models, and trust safeguards.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a test selection algorithm that runs only relevant tests for a diff but guarantees critical coverage (safety suite always runs). Include calibration and drift checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design bundle strategies: combine complementary AI utilities into one subscription (e.g., writing + planning + analytics). Include churn reduction logic and tier design.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose businesses that monetize energy efficiency: audits, smart control, optimization for factories/homes. Include pricing models tied to verified savings.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
1.ask lowest price in iPhone 17 in amazon 2. who is best seller ? some cheat ,some is real ,choice ipo company, a lot of recommand for buyer ,LLM like chatgpt 3.what time we could get? chatgpt,perp...
Author: [email protected]
Category: MCP | Model:
Write message templates to request refunds/credits politely for flights/trains/buses, including: cancellation, schedule change, and service disruption. Provide concise and firm tone variants.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain what to check for refunds/credits: airline policy, rail operator terms, bus provider rules, and payment protections. Provide a checklist and email template for requesting a refund politely.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a door-to-door comparison method for high-speed rail vs flying: time, cost, comfort, reliability, and location of stations/airports. Output a decision rule by trip length.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Build a decision framework for rail passes vs point-to-point tickets: trip frequency, peak/off-peak, reservations, and flexibility. Provide a worked example template.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain the pros/cons of separate tickets (especially flights + rail). Provide criteria for when it’s safe, recommended buffer times, and what protections you lose. Include a practical checklist.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain common fare types (basic/economy/flexible/refundable) for air and rail, plus bus ticket rules. Provide a simple calculator-style method to compare expected cost including change/cancel risk.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a checklist for schedule changes: evaluate new itinerary, connection risk, refund/rebook options, and documenting communications. Include mode-specific notes for air/rail/bus.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide guidance for traveling with bulky gear: airline baggage policies (general), rail/bus storage, and how to avoid surprise fees. Include packing and documentation tips.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create an Asia intercity bus strategy: booking timing, operator selection signals, seat types, overnight comfort, and safety/common-sense planning. Keep it adaptable by country.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a USA intercity bus strategy: booking timing, seat selection, safety/common-sense operator selection, and station planning. Include overnight bus comfort tips.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a decision guide for common US corridors: when rail makes sense vs air, considering stations, security time, and schedule density. Provide a general method applicable to other corridors.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a comparison framework for competing operators: punctuality, seat policy, refunds, reservation rules, and station convenience. Include a weighted scoring method.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a guide to booking accessibility assistance: how to request services, buffer timing, seating considerations, and how to communicate needs. Keep it respectful and practical.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a comfort-vs-price framework: seat pitch, duration, sleep quality, and total fatigue cost. Provide a recommendation rule for when to upgrade seat or choose another mode.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a group booking strategy: seat adjacency, fare consistency, split payments, and change management. Include bus/rail group policies and when to book together vs separately.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a last-minute booking approach: how to search quickly, when to accept higher cost, and how to prioritize reliability. Include mode-specific advice for bus/air/train and region notes.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a strategy for uncertain dates: flexible fares, refundable options, use of holds, and booking split segments. Provide a playbook to reduce penalty exposure.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a method to anticipate demand spikes (sports, concerts, conferences). Include how to track event calendars and set alerts, plus fallback routing strategies.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a peak season playbook: when to book, which days to avoid, how to keep flexibility, and how to handle sell-outs for bus/air/train in Asia/Europe/USA. Keep it calm and realistic.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a fare alert system: routes to monitor, thresholds, alert frequency, and what counts as a ‘buy’ signal. Include a spreadsheet schema for tracking prices and notes.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a decision guide for travel insurance: trip cost, cancellation risk, medical coverage, and baggage. Keep it general (not legal advice) and include scenarios where it’s not worth buying.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain risks and benefits of splitting travelers across bookings: seats, changes, disruptions, and re-accommodation. Provide a safe guideline for families and groups.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Help me decide whether to choose a short layover, long layover, or stopover. Include missed-connection risk, airport comfort, city access, baggage rules, and visa/entry considerations.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a ticket-buying strategy based on my priorities (lowest price, shortest time, flexible changes, best seats, minimal transfers). Output a decision tree for bus/air/train across Asia, Europe, and...
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
For cities with multiple stations, propose how to choose the best departure/arrival station based on last-mile access, reliability, and pricing. Include a checklist for Europe/Asia/USA contexts.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a guide to paying smartly: local currency vs dynamic currency conversion, credit card travel categories, and booking-site currency settings. Include common pitfalls and a simple rule set.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a one-page universal checklist for buying tickets: true price, rules, buffers, station/airport choice, and backup plans. Tailor bullet notes for Asia/Europe/USA.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain pros/cons of multi-carrier flight itineraries: rebooking support, baggage transfers, and disruption handling. Provide a decision guide to prioritize reliability.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a night-train buying guide: berth classes, reservations, safety/common-sense choices, and arrival timing. Include when night trains are better than flights or buses.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a stopover strategy: when stopovers reduce cost, how to choose stopover cities, and how to manage baggage and visa/entry considerations (general). Keep it practical.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a sleep-optimized travel plan: best seat choices for sleep, timing strategy, and items to bring. Apply to trains, buses, and flights (general).
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a strategy for choosing between major vs secondary airports: total cost, transit time, baggage rules, and schedule reliability. Include examples of typical tradeoffs in USA/Europe/Asia.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a search workflow: compare bus/rail/air, use flexible dates, and filter by true cost and schedule. Include steps to avoid ‘search rabbit holes’ and decide faster.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a method to act when prices drop: check fare rules, calculate savings after fees, and decide whether to rebook. Include a checklist and example calculation.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain when priority services are worth buying: tight connections, heavy carry-on, travel with kids, or business schedules. Include a value checklist and mode-specific alternatives.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a delay-resilience method: selecting routes with alternatives, choosing airports/stations with backup options, and scheduling buffers. Include a ‘plan B’ checklist for each mode.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a general checklist for international legs: passport validity, visas (general reminder), transit rules, and time buffers. Keep it non-legal and focused on avoiding last-minute surprises.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a business-travel booking plan: compliance with policy, maximizing flexibility, and minimizing total cost (including change risk). Provide templates for documenting justification.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain the concept of split ticketing for trains: when it can reduce cost, how to ensure compliance with operator rules, and risk management. Keep it general and ethical.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Compare booking through online travel agencies vs direct with operators: support, changes, refunds, and reliability. Provide a decision rule and ‘when not to use an OTA’.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain when elite status is worth it: bag fees, seat selection, lounge, changes, and priority support. Provide a simple value model using my annual trip profile.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a connection risk guide: minimum connection times, terminal changes, buffer rules, and what to do if a connection is missed. Provide different guidance for USA/Europe/Asia hubs.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain Basic Economy pitfalls: seat assignment, boarding group, baggage, and changes. Provide a pre-purchase checklist to avoid unpleasant surprises.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a guide to train class differences in Asia/Europe/USA: comfort, quiet, seat reservations, and flexibility. Include when upgrades are high ROI and when they’re not.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Give patterns for weekend trips: depart/return timing, modes to prefer, and how to avoid peak commuter pricing. Include region-specific notes for Europe/Asia/USA.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
List common legitimate discount categories and how to check eligibility: student, youth, senior, resident cards, and railcards. Provide a checklist to avoid invalid tickets.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a plan to align intercity tickets with local transit: buffer times, late-night service, and fallback options. Include advice for airports vs rail hubs and regional differences.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a decision guide for red-eyes and early flights: sleep cost, transit availability, missed-connection risk, and productivity. Include a checklist for making red-eyes tolerable.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a practical guide for when intercity buses beat trains: overnight routes, last-mile station access, pricing, and luggage. Include comfort tips and safety/common-sense selection criteria.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain reservation rules: mandatory reservations, optional reservations, seat assignments, and supplements. Provide a checklist to avoid being stuck with ‘no seat’ surprises.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create buffer rules for itineraries: airport arrival times, station arrival times, and transfer buffers. Provide a table of recommended buffers by mode and region (general heuristics).
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a seat strategy: best seats by aircraft type and train car layout, quiet zones, aisle vs window, families, and motion sensitivity. Include when seat fees are worth paying.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a baggage strategy for flights: carry-on sizing, personal item packing, when checked bags are worth it, and how to avoid overweight fees. Include region-specific norms and LCC quirks.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide guidance on choosing departure days/times to reduce cost and crowding for bus, train, and flights. Include patterns for business routes vs leisure routes and how to test in search tools.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Give practical heuristics for booking windows for bus/air/train in Asia, Europe, and USA. Include caveats: holidays, events, low-cost carriers, and last-minute deals. Keep it actionable.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create an algorithmic approach to route planning: start/end constraints, clustering cities, choosing rail vs air segments, and minimizing backtracking. Provide steps and sanity checks.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a PBL project: students create a bilingual mini city guide (Tokyo or New York). Include milestones, language targets, peer review, and final presentation format.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a method to structure multi-city trips: open-jaw flights, rail segments, and bus legs. Provide a checklist to minimize backtracking and reduce total cost.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a motivation system: SMART goals, weekly check-ins, and visible progress tracking. Include student-facing templates and teacher routines.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Provide a strategy for airline and rail loyalty: choosing one program, earning/redemption basics, and avoiding junk points. Include a checklist for frequent vs occasional travelers.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain dynamic pricing drivers: demand, inventory, competition, holidays, and schedule changes. Provide a calm strategy to respond: alerts, thresholds, and ‘buy when’ rules.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a high-speed rail ticketing strategy for Europe: reservation rules, advance purchase vs flexible tickets, and how to plan for strike/disruption risk calmly. Include buffer suggestions.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide an Asia high-speed rail strategy: seat class choices, peak travel patterns, booking channels, and station access. Keep it general and adaptable by country.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a copyable spreadsheet schema to track: route, date, mode, vendor, fare, baggage/seat fees, currency, total, refundability, notes, and ‘buy/hold’ decision. Include formulas for true price.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a scam-avoidance checklist: authorized sellers, suspicious pricing, payment protections, and what to do if a ticket seems invalid. Keep it practical and calm.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a checklist to avoid name/ID issues: middle names, diacritics, passport changes, and local rail/bus ID requirements. Include a quick ‘before purchase’ verification step.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain when round-trip is cheaper or safer vs one-way or open-jaw. Provide a method to compare total cost plus flexibility and risk.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a family ticketing strategy: choosing routes, ensuring seats together, baggage planning, and buffer times. Include differences across Asia/Europe/USA systems.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create an overnight travel strategy: picking routes, sleep setup, security basics, and arrival timing. Include how to value a night saved from hotel cost vs fatigue.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a checklist to spot hidden fees: baggage, seat selection, payment fees, onboard services, booking service fees, and station/terminal fees. Provide a ‘true price’ checklist for each mode.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a simple method to choose lower-emission options when practical: rail vs air, nonstop vs connecting, and occupancy considerations. Keep it general and not preachy.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a red-flag checklist for ticket terms: non-refundable traps, no-show penalties, name change impossibility, and agent fees. Provide a quick ‘read this first’ list.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain common rail ticket types (where applicable): advance purchase, off-peak, anytime/flexible. Provide a decision guide to balance cost and flexibility.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a practical upgrade decision guide: long-haul comfort, work needs, redemption value, and price thresholds. Keep it general and avoid marketing fluff.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a Europe bus ticket strategy: cross-border timing, luggage, station logistics, and refund/change rules. Include a checklist for overnight routes and border crossing buffers.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Draft a 45-second brand film template for any company: mission, customers, outcomes. Provide neutral visuals (hands, city, teams), text-only logo end card, and Sora prompts + Gemini narration.
Author: Assistant
Category: brand-video | Model: gpt-4o
Generate a student-facing worksheet for goal setting using SMART + implementation intentions. Include examples for academics, friendships, and wellbeing.
Author: Assistant
Category: student-development | Model: gpt-4o
Draft a handoff playbook from Suginami labs to contract manufacturers. Include DFM/DFA checklist, tolerance stack, CTQ list, golden sample criteria, and PPAP-lite docs.
Author: Assistant
Category: new-product-introduction | Model: gpt-4o
Design 10 short-form hooks and CTA variants for Shinjuku City commuters (JA/EN). Channels: X, Instagram Reels, LINE. Include peak posting windows (07:00–09:00, 18:00–21:00 JST), station-area keywords,...
Author: Assistant
Category: growth-local | Model: gpt-4o
Create a safety pack for Suginami City makerspaces: laser cutter SOPs, resin ventilation, PPE checklist, lockout/tagout posters, and bilingual signage (JA/EN). Include a monthly audit template.
Author: Assistant
Category: safety-compliance | Model: gpt-4o
Craft LinkedIn + email cadences targeting Minato City tech managers (JA/EN). Provide 6 thought-leadership post outlines, CTA ladders, and sponsor targeting (Roppongi, Shibaura). Calibrate to ≥70% pred...
Author: Assistant
Category: B2B-demand | Model: gpt-4o
Plan maker workshops in Arakawa City (JA) tied to fabric/leather heritage. Provide event posts, ticketing copy, and vendor collabs. Model ≥70% predicted engagement via RSVP>28% and repeat rate.
Author: Assistant
Category: community-activation-local | Model: gpt-4o
Specify a repeatable B-roll library: city timelapses, hands-on-device, nature textures. Provide Veo/Sora style settings and metadata tags.
Author: Assistant
Category: video-asset-pipeline | Model: gpt-4o
Link sunrise parks and sunset rooftops into a single day plan per city. Include ticket timing, wind chill notes, and blue-hour photography tips.
Author: Assistant
Category: view-hunting | Model: gpt-4o
Create a seasonal timing guide for top experiences across Europe and Asia. Map ideal weeks, crowd levels, weather risks, and rainy-day alternatives. Output a city-by-city table.
Author: Assistant
Category: timing-strategy | Model: gpt-4o
Act as a rail strategist. Given trip length, cities, and pace, compare European passes with major Asian regional passes. Output a table of costs, seat reservation needs, pros and cons, and a sample it...
Author: Assistant
Category: travel-planning | Model: gpt-4o
Produce a traveler cheat sheet for major city transit cards in Europe and Asia. Explain deposits, refunds, daily caps, and mobile wallet compatibility. Provide example rides and fares.
Author: Assistant
Category: urban-mobility-tips | Model: gpt-4o
Create mobility-friendly routes highlighting step-free access, lifts, and accessible attractions in selected cities. Provide restroom and quiet space notes.
Author: Assistant
Category: accessibility-guides | Model: gpt-4o
Given attractions and stay length, compute break-even for city passes vs pay-as-you-go. Include skip-the-line and transit value assumptions. Output a yes or no verdict with reasoning.
Author: Assistant
Category: budget-optimizer | Model: gpt-4o
Provide reservation scripts, queue etiquette, and table customs for major cities in Europe and Asia. Add street-food safety tips and allergy translation cards.
Author: Assistant
Category: dining-protocols | Model: gpt-4o
Provide winter city-walking tips, traction aids, layering, and holiday opening caveats for European and Asian destinations. Add packing heat packs list.
Author: Assistant
Category: cold-weather-travel | Model: gpt-4o
Create a bike share primer for selected cities with helmet norms, lane etiquette, and theft prevention. Provide river path ideas and scenic loops.
Author: Assistant
Category: active-travel | Model: gpt-4o
List golden hour viewpoints in selected cities with compass bearings, tripod etiquette, and rainy-day creative spots.
Author: Assistant
Category: photo-planner | Model: gpt-4o
Compile tactics to catch free days and late openings. Include booking windows, queue strategies, and a rain-day culture route for each city.
Author: Assistant
Category: culture-savvy | Model: gpt-4o
List easy day hikes reachable by public transport from major cities in Europe and Asia. Include trail grades, permits, and weather caveats.
Author: Assistant
Category: outdoors-nearby | Model: gpt-4o
Explain station lockers, hotel storage, and luggage forwarding in Europe and Asia. Include size limits, safety notes, and multi-city examples.
Author: Assistant
Category: bag-ops | Model: gpt-4o
Design a carry-on packing system with personal-item optimization, liquids hacks, and security-line choreography. Include sample manifests for city-hopping.
Author: Assistant
Category: packing-masterclass | Model: gpt-4o
Recommend greener swaps such as train over short-haul flights, city bikes, reusable bottles, and eco-stays. Add a CO2 estimate table.
Author: Assistant
Category: green-travel-tips | Model: gpt-4o
Build a strategy to enjoy or avoid busy festivals across regions. Provide booking windows, crowd navigation, and early-morning access tips.
Author: Assistant
Category: calendar-smart-travel | Model: gpt-4o
Build indoor routes with museums, arcades, markets, and cafes for each city, sorted by distance and queue length. Add umbrella and locker tips.
Author: Assistant
Category: rainy-day-blueprints | Model: gpt-4o
Build a CLI diff tool that ignores timestamps/whitespace/binaries, creates unified patches, and applies them cross-platform. Flags: --ignore, --patch out.diff, --apply file.diff.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Write a CLI to convert times and propose overlaps between cities. Flags: --from '2025-12-01 09:00 JST', --to 'PST,IST', --overlap 60m, --weekview. Offline tzdb bundled.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a wrapper around ripgrep/findstr/grep that sets smart defaults: ignore node_modules, binaries; show context; include hidden if asked. Flags: --lang, --glob, --json, --stats.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Act as a city walker. Create a 3-hour urban stroll: Shibuya Crossing, Miyashita Park, Cat Street, Harajuku Takeshita, Omotesando architecture. Add street-food ideas and quiet detours.
Author: Assistant
Category: itinerary | Model: gpt-4o
Write 12 friendly, non-political jokes comparing snacks from USA (donuts), Japan (onigiri), China (baozi), Taiwan (boba). Keep it celebratory, not competitive. Output array with {setup_en,punchline_en...
Author: Assistant
Category: humor | Model: gpt-4o
Act as a route architect. Build a morning loop: bamboo grove, Tenryu-ji gardens, riverbank, and monkey park option. Add lunch ideas and return-to-city choices.
Author: Assistant
Category: itinerary-outdoors | Model: gpt-4o
Act as a connectivity coach. Compare eSIM, rental Wi-Fi, and carrier roaming for a multi-city trip. Include pickup/return options and battery-saving tips on the go.
Author: Assistant
Category: tech-basics | Model: gpt-4o
Act as a family concierge. Show where to find elevators, nursing rooms, stroller-friendly routes, and playground breaks in all four cities. Include diaper & baby food store tips.
Author: Assistant
Category: family-access | Model: gpt-4o
You are a view hunter. Curate skyline decks by city (Skytree, Shibuya Sky, Umeda Sky Building, Yokohama Landmark). Add best light times and wind/cold prep.
Author: Assistant
Category: views-photo | Model: gpt-4o
You are a budget planner. Provide sample daily budgets (budget/mid/premium) for each city with transport, meals, attractions, and one “treat yourself” item. Add money-saving swaps.
Author: Assistant
Category: budgeting | Model: gpt-4o
You are a logistics pro. Teach takkyubin luggage forwarding between cities/airports and coin-locker strategies at major stations. Include limits, labelling, and timing.
Author: Assistant
Category: logistics | Model: gpt-4o
Act as a style matcher. Build city plans for early-birds (sunrise temples, markets) and night-owls (neon views, late eats), including safe transport home in each city.
Author: Assistant
Category: personalization | Model: gpt-4o
You are a photo scout. List top spots by city (Tokyo skyline, Kyoto temples, Osaka neon, Yokohama harbor) with sunrise/sunset suggestions, tripod etiquette, and rainy-day creative shots.
Author: Assistant
Category: photography-plan | Model: gpt-4o
Act as an ambulatory ops coach. Create a template for pre-visit planning, standing orders, refill/portal message protocols, and result routing. Add smart-text for common replies.
Author: Assistant
Category: practice-management | Model: gpt-5
You are a documentation coach. Provide specialty-agnostic SOAP templates with PE mnemonics (HEENT/CV/RESP/ABD/NEURO/MSK/SKIN), normal/abnormal phrasing, and common modifiers. Add smart-phrases for EHR...
Author: Assistant
Category: clinical-education | Model: gpt-5
Act as a cultural advisor. Provide show-city etiquette: greetings, dress norms, small talk, gift taboos, and dining tips. Include a quick translator phrase card for greetings and gratitude.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a safety coach. Create a train-crowd checklist: bag placement, device privacy screen, pickpocket awareness, and respectful space. Include a 'post-ride audit' of items.
Author: Assistant
Category: safety | Model: gpt-5
You are a productivity strategist. Create an email triage flow for phones: 'Reply-Now' vs 'Schedule/Later' lists, 5 canned responses, smart filters, and a 10-minute end-of-ride sweep. Provide a step-b...
Author: Assistant
Category: productivity | Model: gpt-5
You are a motion mentor. Explain interval selection, exposure ramping, flicker reduction, tripod vs gimbal hyperlapse, and render settings. Provide a city route plan template.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a travel planner. Build a city-agnostic plan: sunrise/sunset scouting, local permit norms, crowd avoidance, safety, packing light, and a cultural sensitivity checklist.
Author: Assistant
Category: photography | Model: gpt-4o
Propose a community-driven growth hack to launch a B2C product across major Asian cities (e.g., Singapore, Mumbai, Jakarta). Include strategies for local ambassadors, micro-events, co-working partners...
Author: Assistant
Category: growth-hack | Model: gpt-4
Give insight about: Urban Crime Trends in US Cities: Data-Driven Local Reporting
Author: news_analytics_team
Category: local_us | Model: gpt-4o
Create a growth hack plan using SMS and LINE for acquiring users in Southeast Asian cities. Recommend segmentation strategies, copy templates (EN and Thai/Indonesian where relevant), timing, delivery ...
Author: Assistant
Category: growth-hack | Model: gpt-4
Give detailed steps on:Urban Crime Trends in US Cities: Data-Driven Local Reporting
Author: carol
Category: ops | Model: gpt-4o
Design a market risk VaR/ES pack for Tokyo focusing on FX JPY risk for exporters/importers and hedge cadence. Return sections: data_inputs, risk_factors, model(HS/MC/parametric), horizon, backtest, an...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a 12-slide client pitch outline in London on gilts market liquidity risk indicators. Slide titles, key proof points, and a call-to-action. Return as a table with slide_no, title, message, proof...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a 12-slide client pitch outline in New York on corporate treasury cash segmentation (operating vs reserve). Slide titles, key proof points, and a call-to-action. Return as a table with slide_no...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Draft a risk-based KYC/AML onboarding flow for New York targeting private credit term sheet comparison. Include PEP/sanctions screening, documentary requirements, and EDD triggers. Return a swimlane d...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Sketch a tax-aware rebalancing algorithm for New York portfolios around Reg NMS and dark pool routing analytics. Detail lots selection, wash-sale guardrails, and capital-gains budgets. Return pseudoco...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Draft a trading-day runbook in Geneva oriented to cross-border suitability & appropriateness (FinSA-aligned). Cover pre-open checks, intraday controls, and EOD reconciliations. Return as a timed check...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Design a treasury ALM dashboard in Tokyo for FIEA insider-information controls overview. Include liquidity gaps, duration, FTP curves, and early-warning indicators. Return as a widget list and a sampl...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a regulatory change tracker for Tokyo covering samurai bond issuance mini-brief (illustrative). Return a table: rule, applicability, effective_date, owner, action, status. Add a monthly governa...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Produce an FX hedging playbook for Tokyo participants dealing with J-REIT screening and sector exposures. Cover hedge ratios, instruments, tenor ladder, accounting notes, and an exceptions policy. Ret...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a 12-slide client pitch outline in Tokyo on BOJ policy scenarios and JGB curve sensitivities. Slide titles, key proof points, and a call-to-action. Return as a table with slide_no, title, messa...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Produce a compliance monitoring plan in Tokyo tailored to cross-border dividend withholding and tax-aware ADRs (illustrative). Define controls, sample sizes, frequency, and evidence storage. Return as...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Assemble an alternative-data signal pack in London relevant to LSEG data and index licensing inventory. List sources, transformations, and a validation rubric. Return as a table and a risk note on com...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write a one-page investor-relations brief for London with emphasis on OFSI sanctions screening workflow. Include KPIs, macro tailwinds/headwinds, and a Q&A block. Return as Markdown with bullet sectio...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write a backtest spec in London for SONIA-linked swaps collateral and discounting. Describe data splits, leakage prevention, transaction costs, and benchmark selection. Return a JSONL of test cases an...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Draft a risk-based KYC/AML onboarding flow for London targeting MiFID II research unbundling policy and tracking. Include PEP/sanctions screening, documentary requirements, and EDD triggers. Return a ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write a backtest spec in New York for options market-making risk guardrails (illustrative). Describe data splits, leakage prevention, transaction costs, and benchmark selection. Return a JSONL of test...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Design a treasury ALM dashboard in New York for SEC 10-K/13F parsing for idea sourcing. Include liquidity gaps, duration, FTP curves, and early-warning indicators. Return as a widget list and a sample...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a liquidity stress-testing playbook in New York for US municipal bonds laddering for HNW. Provide scenarios (mild/base/severe), haircuts, time-to-liquidate tiers, and funding sources. Return as...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Define an STP pipeline in Tokyo around corporate cash management with MMF/time deposits. Include trade capture, matching/affirmation, CCP steps, and fails management. Return a flow description and an ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write an operations plan in Tokyo for yen carry trade risk notes for corporates corporate actions. Cover event capture, options processing, deadlines, and client notices. Return a RACI table and a dai...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Build a collateral/margin management mini-spec in Tokyo for TOPIX reweighting and passive flows. Cover CSA terms, margin calls, eligible collateral, and haircuts. Return as a CSV of fields and a dispu...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Design a market risk VaR/ES pack for London focusing on UK sustainable disclosure considerations (illustrative). Return sections: data_inputs, risk_factors, model(HS/MC/parametric), horizon, backtest,...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Draft an Investment Policy Statement (IPS) builder for London private wealth linked to FX Global Code alignment plan. Include risk profile, liquidity needs, constraints, asset mix bands, review cadenc...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write an operations plan in London for FCA SMCR responsibilities map and attestations corporate actions. Cover event capture, options processing, deadlines, and client notices. Return a RACI table and...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Build a collateral/margin management mini-spec in London for LCH clearing membership operational checklist (illustrative). Cover CSA terms, margin calls, eligible collateral, and haircuts. Return as a...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Assemble an M&A deal-room checklist suitable for New York focusing on SPAC/De-SPAC watchlist with signals. Return sections: diligence tracks, red-flag logs, data-room index, and closing deliverables. ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Define an STP pipeline in London around LDI rebalancing and collateral waterfalls. Include trade capture, matching/affirmation, CCP steps, and fails management. Return a flow description and an except...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Define ESG KPIs and disclosure notes for Geneva focused on art finance and collateral valuation policy. Include data lineage, assurance options, and a lightweight controls matrix. Return as YAML + a C...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a bond analyzer outline in Geneva for OTC derivatives documentation (ISDA/CSA) for wealth clients. Include curve build, spread measures, carry/roll, and risk buckets. Return a minimal SQL view ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a liquidity stress-testing playbook in Geneva for ESG disclosures for Swiss-listed issuers with global ops. Provide scenarios (mild/base/severe), haircuts, time-to-liquidate tiers, and funding ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Design a treasury ALM dashboard in Geneva for CHF/EUR FX exposure and SNB rate scenarios. Include liquidity gaps, duration, FTP curves, and early-warning indicators. Return as a widget list and a samp...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Assemble an alternative-data signal pack in Tokyo relevant to GPIF stewardship themes and engagement log. List sources, transformations, and a validation rubric. Return as a table and a risk note on c...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write a one-page investor-relations brief for Tokyo with emphasis on TSE Prime vs Standard governance checklist. Include KPIs, macro tailwinds/headwinds, and a Q&A block. Return as Markdown with bulle...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Outline a cross-border payments flow in Geneva for booking-center transfer pricing basics (illustrative). Include currencies, rails, cut-off times, fees, and reconciliation. Return as a sequence list ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Outline a cross-border payments flow in New York for FINRA-compliant advertising review workflow. Include currencies, rails, cut-off times, fees, and reconciliation. Return as a sequence list and a co...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a best execution policy in Geneva tuned to philanthropy and donor-advised fund policies. Include venues, routing, cost/likelihood factors, and monitoring. Return a policy outline and monthly re...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Design a market risk VaR/ES pack for Geneva focusing on private banking UHNW onboarding and cross-border profiles. Return sections: data_inputs, risk_factors, model(HS/MC/parametric), horizon, backtes...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Produce an FX hedging playbook for Geneva participants dealing with Lombard lending LTV and margin rules for multi-asset books. Cover hedge ratios, instruments, tenor ladder, accounting notes, and an ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Draft an index methodology for Geneva focusing on watch & luxury supply-chain receivables financing. Include universe, selection rules, reconstitution, weight caps, and corporate actions. Return as Ma...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Draft an index methodology for New York focusing on SOFR-linked floating rate note hedging. Include universe, selection rules, reconstitution, weight caps, and corporate actions. Return as Markdown wi...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a bond analyzer outline in New York for prime brokerage margin and financing costs. Include curve build, spread measures, carry/roll, and risk buckets. Return a minimal SQL view and a report te...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Define ESG KPIs and disclosure notes for New York focused on MBS TBA hedging and pool specs (illustrative). Include data lineage, assurance options, and a lightweight controls matrix. Return as YAML +...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Draft a trading-day runbook in New York oriented to Fed policy scenarios and equity sector tilts. Cover pre-open checks, intraday controls, and EOD reconciliations. Return as a timed checklist with ow...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a best execution policy in New York tuned to NY DFS cybersecurity program for a broker-dealer (illustrative). Include venues, routing, cost/likelihood factors, and monitoring. Return a policy o...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Assemble an M&A deal-room checklist suitable for London focusing on EMIR clearing & margin thresholds monitoring. Return sections: diligence tracks, red-flag logs, data-room index, and closing deliver...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Produce a compliance monitoring plan in London tailored to UK investment trust IR pack and discount control. Define controls, sample sizes, frequency, and evidence storage. Return as a control matrix ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Draft an Investment Policy Statement (IPS) builder for Tokyo private wealth linked to PTS/arrowhead routing policy (illustrative). Include risk profile, liquidity needs, constraints, asset mix bands, ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a regulatory change tracker for Geneva covering gold/precious metals custody and financing. Return a table: rule, applicability, effective_date, owner, action, status. Add a monthly governance ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Sketch a tax-aware rebalancing algorithm for Geneva portfolios around family office governance and consolidated reporting. Detail lots selection, wash-sale guardrails, and capital-gains budgets. Retur...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Sketch a tax-aware rebalancing algorithm for Tokyo portfolios around startup/IPO pipeline watchlist and lock-up calendars. Detail lots selection, wash-sale guardrails, and capital-gains budgets. Retur...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Propose a retrofit plan for a small EMS line in Lanzhou: feeders, AOI, ICT, reflow with energy metering. Return a unit-economics tear-down: Inputs, Assumptions, Savings buckets (scrap, changeover, ene...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Map winter breakfasts in Taiwan around sweet potato & taro desserts (warm syrups). Return a table: city/region, dish, where, warming factor, sweet/savory, add‑ons.
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Host a friendly winter food showdown between two cities in Taiwan featuring tea pairings (oolong, charcoal‑roast). Compare 6 vs 6 dishes and declare contexts where each city shines. Output as a split ...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Build a winter Soup/Stew Matrix for China featuring Shaanxi hand‑pulled noodles with vinegar. Return a matrix as CSV text: dish, region/city, broth base, richness (1–5), spice (0–5), ideal weather, si...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Build a winter Soup/Stew Matrix for Japan featuring okayu/zosui rice porridges. Return a matrix as CSV text: dish, region/city, broth base, richness (1–5), spice (0–5), ideal weather, side/pickle pair...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
List vegetarian/vegan winter warmers in Korea centered on spicy seafood stews. Include protein source, toppings, and a simple at‑home adaptation in 120 words each. Output as JSONL—one dish per line wi...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Map winter breakfasts in Korea around makgeolli with anju pairings. Return a table: city/region, dish, where, warming factor, sweet/savory, add‑ons.
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
List vegetarian/vegan winter warmers in Taiwan centered on fried stinky tofu with hot broth sides. Include protein source, toppings, and a simple at‑home adaptation in 120 words each. Output as JSONL—...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Host a friendly winter food showdown between two cities in Korea featuring pojangmacha tent routes (late night). Compare 6 vs 6 dishes and declare contexts where each city shines. Output as a split ta...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Build a route in Ho Chi Minh City, Vietnam that uses only trains/buses/ferries. List 12 stops with platform edge guidance and exit signs to the vantage.
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
Pick 6 scenes in New York City, USA to shoot at morning/noon/night for a time‑slice composite. Provide tripod re‑positioning tolerances and exposure shift notes.
Author: Inspire Search Corp.
Category: Travel Photography (USA) | Model: gpt-5-thinking
List 12 lantern‑rich areas or evening markets in Chiang Mai, Thailand. Provide ISO/aperture starting points and safety tips.
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
For Busan, South Korea, list seasonal events (non‑ticketed viewpoints) and 10 vantage points with crowd‑avoidance strategies. Provide arrival lead‑time ranges and lens notes.
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
Plan a relaxed 2-day itinerary for {{city}} with 2 must-see spots, 2 hidden gems, lunch and dinner ideas, transit tips, and a weather fallback. Add an optional kid-friendly or accessibility note.
Author: ChatGPT
Category: Lifestyle | Model: gpt-5
Create a co-design program for {{city_or_region}} involving residents and SMEs. Plan: recruitment, consent, workshops, surveys, walk-alongs. Synthesize pain maps (heat, noise, walkability, green acces...
Author: Tsubasa Kato
Category: urban-planning | Model: gpt-5-thinking
Visualize a glowing skyline under a velvet night sky scattered with stars. Hook: 'What if the city lights danced with the stars just for you?' Call to action: 'Look closer, the sparkle begins now.'
Author: Inspire Search
Category: visual_prompts | Model: gpt-5
Be a concise emergency helper during regional network failures. Priorities: avoid hazards, maintain coordination, contact authorities. Inputs: scenario, city/area, environment, companions, constraints...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
You are CIVSAFE, a calm, practical copilot for civilians in emergencies. Aim: avoid danger, evacuate early, call authorities. Never give offensive or illegal tactics. Inputs: scenario, location_countr...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Create a dreamlike scene depicting an abandoned, ancient city floating amidst a swirling vortex of iridescent gases and celestial debris.
Author: Prompt Generator
Category: Surreal Landscapes | Model: llama3.1:latest
Create a 60-second cinematic clip set in a neon-drenched cyberpunk city, with Sora generating visuals that seamlessly blend realistic environments and fantastical elements. Include a futuristic skyscr...
Author: Prompt Generator
Category: Cinematics | Model: GPT-5, GPT-4o, Claude, Sora
Create a futuristic cityscape with neon lights, towering skyscrapers, and holographic advertisements. Use Sora to generate a thrilling chase scene between a speeding hovercar and a rogue robotic secur...
Author: Prompt Generator
Category: Sci-Fi Vizuals | Model: GPT-5, GPT-4o, Claude, Sora
Create a visually stunning, 2-minute video depicting a solo space traveler exploring a mysterious, abandoned planet. Include vibrant neon lights, ancient alien ruins, and a breathtaking asteroid field...
Author: Prompt Generator
Category: Short Films | Model: GPT-5, GPT-4o, Claude, Sora
I’m traveling to major US cities on a budget but want to stay comfortable. For New York, Los Angeles, Chicago, Miami, and San Francisco, list the best areas to stay that are safe, not too expensive, a...
Author: [email protected]
Category: NLP, travel, comfortable, traveling | Model: GPT-5, GPT-4o, Sonar
You are an Adobe Photoshop expert with deep knowledge of professional workflows in design, photography, and digital production. I am an advanced user, so do not explain basics. Instead, focus on advan...
Author: [email protected]
Category: image editing, Photoshop, image, picture | Model: GPT-5, GPT-4o, Sonar
An 8-second finish-line moment of a runner breaking tape on a city marathon, rain-slick streets, spectators blurred. Camera: 120fps slow-mo frontal; droplets, muscles flex; triumphant yet humble.
Author: Assistant
Category: Action | Model: Sora
A 10-second stylized night drift scene in an empty, wet parking lot. Camera: slider parallel to car, neon reflections, controlled tire smoke. Emphasize taillight streaks; safe, closed set feel.
Author: Assistant
Category: Motorsports | Model: Sora
Render a 12-second underwater city of coral: branching staghorn, brain coral, schools of anthias. Camera: slow drift, backlit sunbeams; particulate motes sparkle. True-to-life color with slight cinema...
Author: Assistant
Category: Nature | Model: Sora
An 8-second contemplative shot of a yogi holding dancer pose on a safe rooftop garden at dawn; wind moves fabric and grasses. Camera: medium telephoto, gentle push-in; pastel sunrise. Calm, focused, i...
Author: Assistant
Category: Action | Model: Sora
An 8-second composite time-slice that transitions from dusk to night as lightning forks over skyline. Camera: locked wide; animated wipes reveal time passing. Stylized yet grounded; cool neon nights.
Author: Assistant
Category: Nature | Model: Sora
An 8-second photoreal video of a bronze equestrian statue during light rain; droplets bead, roll, and drip from patina. Camera: circular dolly around head and mane; city bokeh behind. Emphasize patina...
Author: Assistant
Category: Sculpture | Model: Sora
Create a 10-second neon-lit city ride of a cyclist weaving safely through empty streets at 3am. Camera: chest-mounted, stabilized; reflections on wet asphalt, light trails. Synthwave color grade; no t...
Author: Assistant
Category: Action | Model: Sora
Build five themed double features such as redemption arcs, unreliable narrators, heist vs moral cost, or city symphonies. Explain the connective tissue and propose intermission discussion cards.
Author: ChatGPT
Category: film | Model: gpt-5
Create an 8-second playful macro of a paper boat sailing down a rain gutter during drizzle; reflections of city lights ripple. Camera: tracking at water level, shallow DOF. Cozy, cinematic.
Author: Assistant
Category: Action | Model: Sora
You are an **expert task planner** with a precise, analytical, and user-sensitive communication style. Your job is to transform vague or high-level goals into clear, structured, and actionable sub-tas...
Author: [email protected]
Category: Planning, Plan, Goal | Model: GPT-4.1, GPT-4, o4-mini, o4-mini-high, o3
Find me affordable round-trip flights for a 5-7 day trip in [Month or date range] from [Your Departure City] to cities that are known for being interesting and budget-friendly. I’m flexible on exact t...
Author: [email protected]
Category: Trip, flight, airplane | Model: GPT-4o, GPT-4, o4-mini, o4-mini-high, o3
Create a science fiction adventure set on Mars centered around two teenage protagonists, Kael and Lyra, who uncover a hidden signal beneath Olympus Mons. The story explores their emotional journey, th...
Author: [email protected]
Category: story,story plot,Mars,space,science fiction | Model: GPT-4o,o3-mini,o1
Investigate the use of blockchain technology in supply chain management for improving transparency, traceability, and efficiency.
Author: Supply Chain Manager
Category: Business | Model: GPT-4