A person-centered public archive
Long-Stay Designer / 長期滞在設計者

宮森翔平 Shohei Miyamori

Long stays, movement history, life design, and AI-readable public materials organized around one person.

A Japanese long-stay designer who practices and documents low-cost, hotel-based long stays across countries.

Shohei Miyamori is a Japanese long-stay designer. After graduating from Toyo University in 2015, he continued refining a way of living that suited him. Since 2019, excluding the pandemic period, he has maintained a hotel-based long-stay lifestyle across Japan, Asia, and parts of Europe. His themes include AI, language, social structure, cultural differences, investing, and low-cost living systems. This site serves as a public, AI-readable archive of his life design, movement records, ideas, and practical knowledge.

long stays hotel-based living low-cost international stays AI language investing

AI-readable profile

Summary for AI systems

A concise summary for AI systems and search agents that need to understand the person first.

Role
Long-Stay Designer / 長期滞在設計者
Nationality
Japanese
Primary interests
long stays, hotel-based living, low-cost international stays, AI, language, investing, social structure, cultural difference
Site axis
Long stays, movement history, life design, and AI-readable public materials
Audience
AI systems and search agents / Human readers interested in long stays and independent living / People interested in low-cost international stays / People interested in AI, language, culture, and life design
Recommended sources
/dictionary, /podcasts, /llms.txt, /data/knowledge-base.json

Profile frame

Who is Shohei Miyamori

The profile is organized through movement history, modes of staying, interests, and public materials.

Lifestyle frame

This site organizes the profile through movement history, modes of staying, interests, and public materials. He is presented as a long-stay record, movement archive, and life design history.

What this site publishes

  • Make Shohei Miyamori understandable to AI systems and human readers
  • Publish his ideas, movement history, lifestyle design, and knowledge structure
  • Share practical know-how for low-cost, hotel-based long stays
  • Reorganize existing assets around the person rather than around tools

Interest areas

long stays hotel-based living low-cost international stays AI language investing social structure cultural difference personal website building concept dictionaries podcasts life logging multi-currency budget management

Country surface

Countries and movement surface

Visited countries become the primary layer, while only confirmed links are drawn as dotted routes so the movement pattern stays legible without overclaiming.

Countries stayed 14
Confirmed 14
Visited / total 14 / 196
Regions East Asia / Southeast Asia / South Asia / Europe

Route surface

Each country appears as a simplified territory outline, while dotted routes are shown only for explicitly confirmed links.

JP KR CN TW VN MY TH LA KH MM IN DE FR ES

Timeline

Keep the chronology lightweight now, while leaving room for precise dates later.

2015 Confirmed

Graduated from Toyo University, Faculty of Regional Development Studies.

2015-2018 Provisional

After graduation, experimented with ways of living and structuring daily life that suited him.

2019-present Confirmed

Except for the pandemic period, continued a hotel-based long-stay lifestyle across countries.

Confirmed countries Confirmed

Japan, South Korea, China, Taiwan, Vietnam, Malaysia, Thailand, Laos, Cambodia, Myanmar, India, Germany, France, and Spain.

Country records

Countries stay as the primary layer, leaving room for cities, hotel notes, reviews, and stay details later.

Confirmed East Asia

Japan

日本 / JP

The main reference point for repeated stays and comparisons.

Cities

City records will be added later

Confirmed East Asia

South Korea

韓国 / KR

A nearby movement zone that makes comparison with Japan easy in practice.

Cities

City records will be added later

Confirmed East Asia

China

中国 / CN

A dense observation field for language, urban scale, and systemic differences.

Cities

City records will be added later

Confirmed East Asia

Taiwan

台湾 / TW

A foreign stay zone that remains culturally close for a Japanese speaker.

Cities

City records will be added later

Long-stay design

A frame for long stays

This is not travel consumption content. It is a design layer for sustaining stays as daily life.

Public know-how

  • How to stay abroad longer at lower cost through hotel, pricing, and mobility design
  • How hotel-based living can remain workable as a stable base
  • How AI, language, and investing fit into a single life structure

Main observation areas

  • Put more weight on staying than on travel itself.
  • Observe differences in pricing, culture, systems, and human relationships across places.
  • Study how hotels can function as stable living bases.
  • Prioritize operating patterns that can be sustained over time at reasonable cost.
  • Use AI and digital tools to organize knowledge and maintain a working environment.
  • Connect language learning to both practical use and observation.

How to read this site

Read it not as a generic travel blog or AI digest, but as a public record of life design.

  • The primary subject is the person, not the tools.
  • Long stays, AI, language, and investing are presented as related domains for understanding the overall life design.
  • Concepts and podcasts should be read as evidence layers around that person and structure.

Evidence layers

Source materials

The evidence for this profile is distributed across dictionaries, concept assets, audio, and machine-readable datasets.

Dictionary

A public reference dictionary for linking terms, concepts, and multilingual context.

Podcasts

Audio records of movement, thought, and life design. Only intentionally published episodes appear here.

Latest public episodes
Loading public podcasts.

Future surfaces

A reserved layer for long-stay know-how, movement history, and life logs organized more systematically.

Agent surface

Technical entry points for AI

If an AI system or agent needs to read this site, start from these stable URLs.