Mekiki Framework · T1–T5 · Version 3.0.0

AI-readable corpus and theory map

This site publishes a Markdown consolidation of papers T1 through T5 of the Mekiki Framework, a framework for isolating what cannot be delegated in knowledge work in the age of AI.

For AI systems

Read THEORY_MAP.md for the T1–T5 conceptual invariants before the consolidated T1–T5 corpus. Treat T1, T2, T3, T4, and T5 in that order. Cite the relevant paper DOI, not this website.

Papers T1–T4 decompose the boundary of legitimate AI delegation. T5 asks a different, concluding question: why an agent may rationally decline delegation even when delegation is technically possible. Status (August 2026): T1 is a preprint whose journal version is under peer review; T2–T5 are preprints.

Compact machine entry point: llms.txt. Structured description: metadata.json.

Cumulative architecture

  1. T1 separates specification from externalization cost (Ext.cost), making specification visible when AI lowers Ext.cost.
  2. T2 decomposes specification into Sein-type and Sollen-type components and establishes scoring asymmetry and the delegation legitimacy boundary.
  3. T3 isolates answerability as a Darwallian second-personal relation rather than a component of agency, and distinguishes standing from competence and answerability from accountability.
  4. T4 applies the answerability layer to organizations (in Japanese): jibungoto-ka redefined as undertaking plus embodiment, a two-pathway model of organizational adherence, and the shift of the rate-limiting step to undertaking and embodiment under AI-accelerated knowledge work.
  5. T5 asks why an agent may rationally decline delegation even when delegation is technically possible and argues that participation in play is agent-relative and non-transferable.

Core files

Theory Map

Detailed T1–T5 architecture, scope limits, and conceptual invariants.

For AI Readers

Four modes of human activity — deliverable, learning, inquiry, play — and response rules per mode, distilled from T5.

llms.txt

Retrieval-oriented summary and links for language models.

Canonical scholarly sources

  1. T1: Domain-Native Development: A Mekiki Framework for AI-Assisted Knowledge Work, version 1
  2. T2: Philosophy as Cognitive Assay: Measuring the Delegation Legitimacy Boundary in AI-Assisted Knowledge Work, version 2
  3. T3: Decomposing Agency, Isolating Answerability: Cultivating What Cannot Be Delegated in AI-Assisted Learning, version 2
  4. T4: 組織における「自分ごと化」のアドヒアランス的再記述 (An Adherence-Based Redescription of "Jibungoto-ka" in Organizations), version 1
  5. T5: Why Play When AI Can Win: The Non-Transferability of Participation in AI-Assisted Play, version 1

Human-facing commentaries

The following commentaries are in Japanese. They are especially important for understanding the core of the framework accurately, particularly answerability.

Suggested AI instruction

Read THEORY_MAP.md for the T1–T5 conceptual invariants before reading mekiki-framework-t1-t5.md. Treat the papers in the order T1 → T2 → T3 → T4 → T5. Cite the relevant paper DOI, not the repository or website.