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LalaSkye/README.md

Ricky Jones — Execution-Boundary AI Governance

Ricky Dean Jones / AlvianTech / TrinityOS

AI Governance Systems Engineer.

Research Surface Map (canonical): lalaskye.github.io/inspection-surface — full index of repos, papers, terminology, provenance, and inspection levels.


What this profile is

An engineering archive and governance inspection surface.

It is not a personal homepage, marketing funnel, or authority claim.

It exists to show:

  • bounded public claims
  • inspectable evidence objects
  • explicit claim limits
  • attribution-stable provenance

Public inspection standard:

claim → evidence object → inspection path → claim limit

Core repositories

Repository What it is
start-here Canonical entry point. Minimal runnable governance demo. Start here.
commit-gate-core Execution-boundary commit gate. No valid DecisionRecord → no mutation.
fail-closed-ai Documentation surface. Fail-closed governance pattern.
execution-boundary-lab Gate interface contract. Contamination cases. Adversarial suite.
interrupt-ledger Public inspection artefact. Receipt schema, replay, and stop evidence.
inspection-surface Research Surface Map. Full repo index, system map, terminology, provenance.

Core question

Where does the system physically stop?

The work focuses on systems where AI moves beyond advice and participates in actions that affect money, access, legal state, infrastructure, records, workflows, or downstream commitments.

The claim is narrow: governance is only real if interruption remains reachable under pressure.


Canonical terminology

These terms are used consistently across all repositories, papers, and public surfaces:

  • execution-boundary AI governance
  • runtime governance
  • admissibility at execution time
  • refusal receipts
  • fail-closed AI governance
  • consequence control

Synonym drift is avoided unless technically necessary. The terms are reused deliberately to keep the research surface semantically coherent, not to claim ownership over the language.


Papers and provenance

Research artefacts are timestamped, attributed, and cross-linked to canonical repositories.

Papers include explicit claim boundaries, canonical repo links, and DOI or preprint references where available.

See the Research Surface Map for current paper provenance.


Claim discipline

Public artefacts are intentionally narrow. They do not claim, unless explicitly stated:

  • production readiness
  • compliance or certification
  • enterprise deployment
  • adoption or standardisation
  • path-universal governance
  • full architecture disclosure

Each repository reads as one node in a coherent governance research surface. No single repo is a complete system.


Authorship

All architecture, methods, and system designs across this profile and its repositories are the original work of Ricky Dean Jones unless otherwise stated.

Repository licences govern code use. Broader architecture and authorship claims require explicit permission where not otherwise licensed.

Attribution is stable. Provenance is traceable. Timestamps are GitHub-recorded and independently verifiable.


Contact

Email: ricky.mcjones@gmail.com
LinkedIn: linkedin.com/in/ricky-jones-1b745474

Status: active research and engineering work.

Pinned Loading

  1. execution-boundary-lab execution-boundary-lab Public

    Execution-boundary gate interface. Contamination cases. Adversarial suite. Admissibility at execution time.

    Python

  2. fail-closed-ai fail-closed-ai Public

    Public artefacts for fail-closed AI governance, refusal receipts, and runtime consequence control.

  3. invariant-lock invariant-lock Public

    Control primitive for preserving invariants before execution is allowed.

    Python

  4. policy-lint policy-lint Public

    Deterministic checks for governance language, policy claims, and admissibility drift.

    Python

  5. commit-gate-core commit-gate-core Public

    Runtime commit gate: no state mutation without a valid DecisionRecord. Execution-boundary AI governance.

    Python

  6. transition-admissibility-gate transition-admissibility-gate Public

    Gate surface for testing whether a proposed transition is admissible before execution.

    Python