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
A sequential body of work examining reliability, cognition, and preference structures in human–LLM and autonomous AI systems.
- Engineer-Grade AI: Operating Contracts (Jan 2026)
- Shared Cognitive State in Human–LLM Interaction (Feb 2026)
- EIM Operational Engine — Epistemic Integrity Mode (Feb 2026)
- ChronoContext: Temporal Cognition Layer for LLMs (Mar 2026)
- AI Reliability Architecture (Mar 2026) — overview framework
- Visual Engine Optimization (VEO) (Mar 2026)
- Synthetic Intelligence Optimisation (SIO) (Jun 2026)
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.