Work / Public register
Things that exist, with the state they actually hold.
This is a working archive rather than a list of polished claims. Architecture maturity and implementation maturity are kept separate.
Implementation states updated October 5, 2026.
Practice
1 recordsArchitecture
10 recordsA method for designing operating structures around AI-assisted work.
The operating layer that connects workflows, continuity and governance.
Bounded environments with explicit authority, memory, state and output rules.
Reusable building blocks for AI environments that need continuity and control.
A way to bring the right context into a task while keeping unrelated work separate.
Rules for what related tasks may share and what must remain separate.
Persistent memory that separates durable working state from conversational residue.
Structures that carry state, decisions and boundaries through long-running work.
Governance and working context that can move across model providers.
A routing direction for deterministic processing, local inference, hosted models and human escalation.
Governance
5 recordsA runtime governance system that changes what an AI result must establish before it can be trusted or used.
A visible readiness check for task state, risk, operating mode and proceeding posture.
A reviewable record of what informed a decision, what changed and who accepted it.
Clear separation between proposed, approved, implemented, verified, deployed and obsolete work.
Policy and authority applied while work runs—not documented after the fact.
Development
11 recordsA development environment that keeps direction, execution, evidence, verification and release authority separate.
A governed parallel-development architecture for running bounded work lanes simultaneously while preserving state, ownership, handoff and verification boundaries.
A controlled implementation layer with clear gates, exact candidate binding and human acceptance.
Clear responsibilities for planning, building, audit, review, verification and acceptance.
Exact control of source state across branches, worktrees, candidates and acceptance gates.
A controlled bridge from governed direction to local execution and verifiable terminal state.
Use ordinary computing for routing, validation, state and policy work that doesn’t need model judgment.
Different development experiences built on the same governed runtime.
Controlled development access from remote and mobile work surfaces.
A controlled way to move approved context between environments.
A terminal-bound operator for carrying execution evidence back into the AI workflow while reducing manual copy-and-paste.
Environments
7 recordsA working pilot that turns the architecture into a reviewable operating product.
A project-aware AI environment for a complex website migration program.
A working system that turns one brief into distinct directions and a controlled path to refinement.
A controlled runtime for presenting configured environments without exposing private context.
Environments configured around a client, prospect or project while preserving the reusable system beneath them.
A terpene education and decision-support environment built around profiles, blending, functional categories and practical selection rather than isolated strain labels.
A structured research system for complex, source-heavy questions where authorities, definitions, timeframes and competing interpretations need to remain distinct across areas such as law, business, academic research, current events and cultural analysis.
Judgment systems
4 recordsA deeper judgment process that remains separate from runtime governance.
Editorial governance for authorial fidelity and controlled transformation.
Evaluation of public exposure, positioning and reputational consequence.
Strategic positioning before action, kept separate from URSA and REP.