Abstract
A coordination methodology lets people and machine agents work together through legible shared records without anyone giving up control of their own. Its central element is an interlock: a single per-record access rule, evaluated by the data store, that at once withholds a participant's own context from any authority, governs the records a goal-directed learning loop reads and writes, and cannot be altered by anything a machine agent reads. The participant holds a user-held skill file, drawn out by an AI interview, that composes with an optional institution's own skill file and with the AI; the participant decides, per recipient, which progress fields leave their side, and nothing flows by default. When a lesson does not land, the loop returns from a different modality, analogy or cultural reference instead of repeating it, and learns what works for that person. Participants join through a capability-scoped connection and can be revoked instantly. A translating modem conserves meaning at a comprehension level the reader sets. The same pattern is described in a server, a classroom, a handset, an off-grid node, and a bioregional food, waste-to-soil and fabrication network aimed first at landscape-scale fire and drought remediation, with each physical component credited to the people who demonstrated it. A technical supplement gives tested schemas, rules and reference code, including adversarial tests. The complete record, including the five United States patent applications filed in December 2025 (published in their filed form with personal and third-party details blacked out and each removal marked, plus drawings for one application that were never made at filing, labelled as added in 2026), is archived at https://doi.org/10.5281/zenodo.23251327.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Dobbs, Shannon J., "Solid Ground: A Fractal, Governed Shared-Memory Methodology for People and Machines, Given to the Commons", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12127
Supplemental with details
Solid-Ground-TDCommons-supplemental.pdf (3132 kB)