Founder of An-soku LABO
Building reliable infrastructure for AI systems.
I work on independent research, OSS utilities, AI-agent governance, reproducibility, and product/runtime observations.
- AI infrastructure & reliability
- Agent authority / means / human-approval boundaries
- Deterministic and verifiable utility tools
- Reproducible bug reports and product observations
- AI workflow / artifact provenance
- Load Minimization Theory (LMT)
Deterministic file inspection and integrity verification utilities.
https://github.com/kouteichan/file-integrity-toolkit-oss
A deterministic calculation toolkit designed for reliable AI/tool workflows.
https://github.com/kouteichan/Deterministic-Calculation-Toolkit-OSS
Public work related to LMT-based code generation and engineering protocols.
https://github.com/kouteichan/LMT-Code-Generation-Protocol
I also contribute reproducible bug reports, evidence, and workflow/design feedback to AI infrastructure projects.
Recent work includes observations and proposals around:
- cross-device conversation-state consistency
- file/source accessibility across AI runtime boundaries
- tool-call cancellation and terminal-state behavior
- ChatGPT Project โ Codex artifact/task handoff
- provenance, human approval, and repository mutation boundaries
My approach is:
Observe โ reproduce โ separate confirmed facts from unknowns โ preserve evidence โ contribute
Reliable Infrastructure for AI Systems
Research and engineering focused on making AI systems easier to verify, govern, reproduce, and use reliably.
