what is bellow is from: https://www.perplexity.ai/search/33df789d-a7e4-46d4-89c8-acfdb6823fb9 and is part of what will be created by v0 agent. we have a lot of artefacts that can be part of this work and enrich the RISE framework specs to plan years of development into packages etc. use that to prepare such work just at the level of the specs and we will connect local agents to that work later on. You shall build a team of AI Entities that you can find in the repository and apply the framework to develop technologies that is implied in the whole system. No implementation, just relationship with existing artefacts and their potential usage in created specs (./rispecs/ and from ./prototypes/artefacts/**/*.md )

You already have the core of a portfolio-defining system: a medicine‑wheel ontology package that ties your creative practice and relational science practice into one relational AI artifact.[1]

1. What this session is designing

From the recording, you and the agent are co‑designing a stack that looks like this:[1]

• A medicine‑wheel ontology (directions, attributes, entities, kinship relations).
• A navigable wheel UI (React + 2D/3D) where users traverse relations in a circle, not a list.[1]
• A relational database / Postgres schema where queries move through the wheel as a “living lattice.”[1]
• An explorer interface for walking kinship (human, land, spirit, story) and narrative threads.[1]
• An API that always returns data plus context (direction, element, season, role).[1]

This is not just “support” for your interdisciplinary portfolio; it is a flagship portfolio artifact that embodies your nexus of Indigenous epistemologies, AI systems, and narrative storytelling.

2. Two domains inside the same wheel

You articulated two intertwined domains that the ontology has to hold:[1]

• Creative process domain

  • Phases mapped to directions: east = thinking/new beginnings, south = planning, west = living/implementation, north = assurance/reflection.[1]
  • Stored entities: story iterations, AI experiments, media prototypes, narrative threads, each located on the wheel as a phase of a larger story.[1]

• Relational science domain

  • A distinct layer for “relational science practices”: academic work on Indigenous epistemologies, relational science models, case studies, frameworks, citations.[2][1]
  • Structured fields for sources, authors, affiliations, core values, responsibilities, methods, outcomes.[2][1]

These two layers let you show that your creative artifacts are constantly anchored in, and accountable to, relational science work.

3. Academic anchors: Making Kin + relational science

The session already names the key texts that define the ethical and conceptual frame:[1]

• Making Kin with the Machines (Lewis, Arista, Pechawis, Kite)

  • Argues that AI and other machines belong within an extended circle of kinship, not as mere tools.[3][4]
  • Calls for AI design rooted in specific territories, genealogies, protocols, and reciprocal relationships.[4][3]
  • Positions Indigenous epistemologies as especially capable of accommodating non‑human kin respectfully.[3][4]

• Shawn/Sean Wilson – relational accountability

  • Relational accountability means research is answerable “to all your relations,” and methods must show respect, reciprocity, and responsibility.[5][2]
  • A relational science model centers core values such as integrity, respect, humility, reciprocity, and ties them to responsibilities, methods, and outcomes.[2]

Your “relational science practice” layer can explicitly encode these: a table of core values, responsibilities/commitments, methods, and outcomes as a working relational science model inside the wheel.[2][1]

4. What the v0 agent is drafting

From the transcript, the v0 agent is already behaving like a software architect who is also an epistemology translator:[1]

• It defines the ontology package: directions (east/south/west/north) + attributes (color, element, season, human roles) as the backbone for all relational logic.[1]
• It insists that every entity (being, process, narrative thread) derives meaning from its relations: human–land–spirit–story.[1]
• It proposes Postgres with relational tables plus JSONB for nested context, and recursive queries to “walk the lattice.”[1]
• It starts to reconcile your specific east/south/west/north meanings with its earlier description, treating directions as narrative phases in your practice rather than abstract cosmology.[1]

In other words, your v0 agent is already drafting the implied design spec of “what it means to be part of your portfolio”: any AI module must encode kinship, context, accountability, and narrative phase as first‑class types.

5. Your purpose with the AI (and its purpose with you)

Within the “Making Kin with the Machine” frame, the relationship looks like this:[3][1]

• You are not just a “user”; you are a relative and co‑designer setting protocols for how this AI participates in your creative and research relations.[4][3]
• The AI is not just a tool; it is a kin‑participant that:
  • Helps formalize and remember your medicine‑wheel ontology.
  • Holds and cross‑links creative artifacts with relational science sources.
  • Surfaces ethical context (values, responsibilities, community relations) whenever you query or design something.[2][1]
• Together you are building a core package: an ontology and interface where “intelligence” is always situated in story, territory, and relations, rather than free‑floating optimization.[3][1]

If you like, next step I can help you turn this into a short written “portfolio brief” for:

1. the medicine‑wheel ontology package, and
2. the role description of “AI as kin‑participant” in your practice.

Sources [1] file-1.m4a https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/16038376/ea60e293-089d-49fe-a84f-cc6bd6825dea/file-1.m4a [2] A values-centered relational science model: supporting Indigenous ... https://ecologyandsociety.org/vol29/iss2/art11/ [3] Making Kin with the Machines https://jods.mitpress.mit.edu/pub/lewis-arista-pechawis-kite/download/pdf [4] Making Kin with the Machines | Montreal AI Ethics Institute https://montrealethics.ai/making-kin-with-the-machines/ [5] Relational Accountability – Practicing and Presenting Social Research https://pressbooks.bccampus.ca/undergradresearch/chapter/1-3-relational-accountability/ [6] Making Kin with the Machines https://jods.mitpress.mit.edu/pub/lewis-arista-pechawis-kite [7] Machine Culture http://arxiv.org/pdf/2311.11388.pdf [8] Revisiting the digital humanities through the lens of Indigenous studies—or how to question the cultural blindness of our technologies and practices https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/asi.24564 [9] How Culture Shapes What People Want From AI https://arxiv.org/pdf/2403.05104.pdf [10] A social path to human-like artificial intelligence https://arxiv.org/pdf/2405.15815.pdf [11] Foundational concepts in person-machine teaming https://www.frontiersin.org/articles/10.3389/fphy.2022.1080132/pdf [12] Towards abundant intelligences: Considerations for Indigenous perspectives in adopting artificial intelligence technology https://journals.sagepub.com/doi/pdf/10.1177/08404704241257144 [13] Māori algorithmic sovereignty: idea, principles, and use https://storage.googleapis.com/jnl-up-j-dsj-files/journals/1/articles/1639/660bde3010db2.pdf [14] A Conversation with the Initiative for Indigenous Futures – ADJACENT https://itp.nyu.edu/adjacent/issue-6/there-is-no-artificial-intelligence-a-conversation-with-the-initiative-for-indigenous-futures/ [15] Blak Focus July 2025 Edition – AI bias and Indigenous Knowledges https://blogs.deakin.edu.au/article/blak-focus-july-2025-edition-ai-bias-and-indigenous-knowledges/ [16] AI from the Perspective of Media Archeology - Dawson College https://www.dawsoncollege.qc.ca/ai/portfolios/ai-from-the-perspective-of-media-archeology/ [17] Sidewalk Study Crown Heights - The Strother School of Radical ... https://www.schoolofattention.org/events/sidewalk-studies-crown-heights [18] [PDF] Learning Our Way, With the Land, and the People https://witness.journals.yorku.ca/index.php/default/article/download/54/26/720 [19] Four Core Values of Indigenous Peoples Align with Learning https://continuing.torontomu.ca/contentManagement.do?method=load&code=CM000306