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alan-g-friar/README.md

Alan Friar

Founder & CEO, EnBra Group LLC. Independent researcher working across AI reliability architecture, machine-preference systems, and archaeoastronomy.

EnBra Group focuses on Digital Online Marketing optimization and industrial compliance and hazardous-area certification. Outside of that core work, this profile hosts a series of open research publications exploring how autonomous AI systems reason, retain context, and make preference-based decisions — along with a separate line of work in archaeoastronomy and geodesy.

ORCID: 0009-0000-6986-1771 LinkedIn: linkedin.com/in/alanfriar Links: Linktree


AI Architecture & Reliability Research

A sequential body of work examining reliability, cognition, and preference structures in human–LLM and autonomous AI systems.

  1. Engineer-Grade AI: Operating Contracts (Jan 2026)
  2. Shared Cognitive State in Human–LLM Interaction (Feb 2026)
  3. EIM Operational Engine — Epistemic Integrity Mode (Feb 2026)
  4. ChronoContext: Temporal Cognition Layer for LLMs (Mar 2026)
  5. AI Reliability Architecture (Mar 2026) — overview framework
  6. Visual Engine Optimization (VEO) (Mar 2026)
  7. Synthetic Intelligence Optimisation (SIO) (Jun 2026)

Safety Engineering & Human Factors


Archaeoastronomy & Geodesy


All works are published under CC BY 4.0 and archived on Zenodo with persistent DOIs.
Full citation metadata (CITATION.cff) is available in each repository.

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  1. ai-reliability-architecture ai-reliability-architecture Public

    Architectural framework for reliable human–LLM interaction systems.

  2. temporal-cognition-layer-llm temporal-cognition-layer-llm Public

    Design-oriented architecture defining a temporal cognition layer for LLM systems enabling chronological reasoning through event anchors and timeline context.

  3. engineer-grade-ai-operating-contract engineer-grade-ai-operating-contract Public

    A design-oriented position paper on operating contracts for reliable AI assistance in constrained, real-world environments.

  4. shared-cognitive-state-human-llm shared-cognitive-state-human-llm Public

    Problem definition of shared conversational state risks in multi-human, multi-LLM interaction

  5. synthetic-intelligence-optimisation synthetic-intelligence-optimisation Public

    Specification Baseline v1.0 — A formal research framework for preparing digital entities for autonomous machine preference and decision-making.

  6. visual-engine-optimization visual-engine-optimization Public

    Specification Baseline v1.0 for Visual Engine Optimization (VEO) — a foundational framework for machine-level visual interpretability in AI systems.