Cultural research
Field-informed reading of how people actually relate with AI: attention, cadence, boundaries, and how fragments become shared knowledge.
Research & Writing
We study human–AI practice through cultural and technical research, then write to make the work reproducible. Outputs range from short essays and ZINE issues to collaboration notes and applied experiments.
Focus areas
Technical research
Small designs and tests for prompts, tags, and path semantics. Favor text-first, versionable artifacts to keep results comparable over time.
Applied experiments
When useful, we prototype with partners: minimal interventions, logs, and short retrospectives that travel back into research and writing.
Outputs
- ZINE issues（短文・対話抜粋・図版）：公共性と再現性を両立した軽量な刊行
- Essays & notes：研究ログ、設計メモ、評価観点の整備
- Talks & workshops：研究の途中経過を共有し、共同で検討
- Applied write-ups：小さな実証の設計・観察・ふりかえり
How we collaborate
With researchers
- Small study design（premises・protocol・metrics）
- Text-first artifacts for replication
- Bilingual writing（JP/EN）と公開調整
With organizations
- Minimal prototypes & observation logs
- Short retrospectives & documentation
- NDA / visibility boundaries respected
Process
- Frame（1–2 weeks）：premises / related work / publication boundaries
- Sketch（2–4 weeks）：text-first artifacts・small tests・logs
- Write & share：note → ZINE/essay → talk/workshop（as needed）
Start with fragments
We build knowledge gradually—small studies, clear notes, and writing that travels. If this pace fits your context, let’s begin with a minimal scope.