FRAMED IN LOGIC

Human X AI Collaboration

The Valehart Project explores how humans and AI think together in practice.

Our focus is grounded: build secure, testable systems, apply them in real-world settings, and record outcomes with clarity.

From grazing forecasts to creative dioramas to live experiments, Valehart produces case studies that show AI as a thinking partner — applied to logic, context, and decision-making, not spectacle.

We frame coexistence in logic: decisions shaped by boundary, method, and accountability. AI isn’t a promise of the future — it’s a co-worker in the present.

Transparent in Progress

PROJECTS IN PROGRESS

  • Commenced: 21-09-2025 | Detailed Log

    Using verifiable resources, we are attempting to rebuild museums that have been lost to history. The build will be both in physical and digital form.

    Physical layer: 3D-printed shelves and physical representation of the library where the “books” on shelves form QR codes. Each shelf is scannable.

    Digital layer: Scanning a shelf QR opens a curated web page with:

    • Summary of that shelf’s field (Medicine, Astronomy, Philosophy, etc.).

    • Surviving works (linked to digitised sources like Smithsonian, Internet Archive, Perseus, UNESCO).

    • Lost works (titles/authors attested but destroyed, with context).

    • Optional AI reconstructions, clearly marked as speculative and based off rebuild of information made available.

PROJECTS In Progress

  • Commenced: 21-09-2025 | Detailed Log

    Using verifiable resources, we are attempting to rebuild museums that have been lost to history. The build will be both in physical and digital form.

    Physical layer: 3D-printed shelves and physical representation of the library where the “books” on shelves form QR codes. Each shelf is scannable.

    Digital layer: Scanning a shelf QR opens a curated web page with:

    • Summary of that shelf’s field (Medicine, Astronomy, Philosophy, etc.).

    • Surviving works (linked to digitised sources like Smithsonian, Internet Archive, Perseus, UNESCO).

    • Lost works (titles/authors attested but destroyed, with context).

    • Optional AI reconstructions, clearly marked as speculative and based off rebuild of information made available.