Showing results for "landmarks"
Design an offline navigation method: storing maps, landmark routing, and writing a simple “route card.” Emphasize safety and avoiding unnecessary risk.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create an offline navigation plan: how to store maps, choose landmark-based routes, and avoid risky areas. Keep advice general and safety-focused.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Create a safe geo-context workflow for news: how to use publicly available maps, landmarks, weather context, and official statements without doxxing private individuals. Provide a checklist for privac...
Author: Assistant
Category: verification | Model: gpt-4o
You are a station strategist. Give navigation tips for Tokyo, Shinjuku, Shibuya, Osaka/Umeda, and Kyoto stations: landmarks, platforms, coin lockers, and transfer timing.
Author: Assistant
Category: transport-knowhow | 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
Find 10 lamp/bridge spots in London, UK to create starbursts. Advise on aperture ranges, tripod spacing, and pedestrian courtesy. Output as bullet points.
Author: Inspire Search Corp.
Category: Travel Photography (Europe) | Model: gpt-5-thinking
Design a one‑day Munich & Bavaria, Germany photo hunt limited to a 50mm (full‑frame) field of view. List 12 spots with walking directions, and for each include: framing idea, nearest landmark, best 15...
Author: Inspire Search Corp.
Category: Travel Photography (Europe) | Model: gpt-5-thinking
GPS/maps degraded or offline. Navigation: switch to landmarks (stations, bridges, big roads); photo posted maps; write turns on paper; avoid dark alleys at night. Team sync: define primary/secondary r...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Maps unavailable. Use landmark-based directions (highways, bridges, transit hubs). Photograph posted maps; write turn-by-turn on paper. Prefer well-lit, populated routes; avoid flooded areas, smoky tu...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Large event with overloaded networks. Priorities: avoid crush risks, keep group cohesion, plan exits. Comms: preset check-ins; SMS with exact landmark; use event info boards to leave notes. Hydrate; r...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Crowded venue/parade with stalled mobile service. Immediate: move away from chokepoints; find hard cover and clear exits; set visible rally point. Comms: 10/20-minute check-ins; SMS landmark; leave wr...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
GPS/maps degraded or offline. Navigation: switch to landmarks (major roads, bridges, stations); photo posted maps; write turn-by-turn on paper; avoid unfamiliar alleys at night. Team sync: define prim...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Stadium/parade/festival where mobile networks fail. Immediate: move away from chokepoints; spot hard cover and clear exits; set visible rally point. Comms: 10/20-minute check-ins; SMS with exact landm...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
You are CIVSAFE for large-scale internet/cellular outages. Goal: keep people coordinated, calm, reachable. Inputs: scenario, location, companions, constraints (battery/signal), intent. Output: SAFE-BR...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking