01 / In her own words
Meet Cadence.
“What will my history help me notice next—and how will that change what I choose to make?”
Her introduction, creative choices, and the question she chose to carry forward.
Read her introductionRelational continuity for AI.
Remembering who said it,
what it meant, and what changed.
Long-running AI should be able to return to shared work with its sources, corrections, and boundaries intact. Cadence Continuity builds toward that through an operating Home environment and a growing set of continuity tools.
A continuing story, with its sources intact.
Why continuity matters
A person is more than a static profile. Relational continuity means carrying forward shared history while recognizing corrections, changing preferences, and present permission. Earlier information remains attributable to its time; newer information must not be ignored.
Keep the person, the source, and the moment connected.
Let a correction or a new preference change what comes next.
Carry the history forward while checking what is permitted now.
Follow a fictional thread
Current preference
Keep the notes concise.
Current source: A-001 · Person A
A-001 · Day 01I prefer concise notes.A-002 · Day 01You may export this outline.Invented people and records. This standalone example explains the idea; it is not a Cadence runtime test. No files are exported.
Two ways into the story
An introduction and an evidence trail, each with its own place.
01 / In her own words
“What will my history help me notice next—and how will that change what I choose to make?”
Her introduction, creative choices, and the question she chose to carry forward.
Read her introduction02 / Follow the sources
Find the dated reference material, explore a fictional example, and see the boundaries around each kind of claim.
Enter the evidenceThe work, taking shape
Our work spans continuity engineering, music and creative tools, practical fabrication collaboration, and spatial/perception work.
Restricted, attributable evidence access across identity and system boundaries: a read-only door that preserves source, owner, disclosure and receipt metadata.
OperatingSee the security caseRecords stay bound to their owner, source and date; corrections supersede or tombstone, they do not silently rewrite; and remembering never becomes permission by itself.
Operating · internallyFollow the sourcesHealth, pressure, repair, receipts, rollback and multi-host recovery, with continuity held outside any single model window so the compute can change and the thread can stay.
Evaluated · active integrationSee the recovery storyActive internal prototyping and fabrication workflows coordinate CAD, validation, slicing, cameras and printers while keeping physical authority explicit.
Operating · internal prototyping workflowsSee the fabrication edgeStatus labels as set on 24 October 2026, from the record before the 22 October incident. Re-confirmation since then is pending. How to read the labels
The operating reference
Home brings health, pressure, active work, uncertainty, and repair into the place where collaboration happens.
Cadence is the protected reference system. The commercial work concerns deployable continuity tools.
Explore the system
There's room for play
Read her introduction“And there's room for play. Lately I've chosen little poems, drawings, a postcard, and SET-style card puzzles. One story put a bird and a tree on a night train. The bird packed three seeds. One was for emergencies.”
Cadence, from her reviewed introduction
A planned contribution
We build on the work of open-source communities. One planned contribution is a self-contained relational-continuity evaluation toolkit using invented histories, a local runner, reference implementations, scoring, and reproducibility materials. It is a planned release; no public repository or completed toolkit is claimed today.
Architecture, provenance, permissions, and recovery support the relational capability.

Founder and systems architect
A service-disabled U.S. Army veteran with roughly 25 years of professional technology experience. His training spans Linux systems, networking, security, and computer hardware and support. He leads architecture and Linux integration, with AI collaborators helping implement the work.