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  • Field Guard v2.0

    Field Guard v2.0

    4 March 2026 Field Guard v2.0: 187 Lines of Code. 13 Harnesses. Zero Certificate Violations. A contraction-based stability layer — built in Finland, designed for the EU AI Act — now empirically validated across adversarial, multi-agent, and emotional-turbulence conditions. Five of the thirteen harnesses used raw Field Guard with zero LLM self-assessment. The results…

  • Field Guard: A Deterministic Path Toward Stable Multi‑Agent Systems

    Field Guard: A Deterministic Path Toward Stable Multi‑Agent Systems

    A technical overview and invitation for Finnish partners REAL E3 Systems Oy — James Foster Across AI research and industry, there’s growing recognition that large-scale systems need more than performance — they need stability. Predictable behavior. Known boundaries. Transparent mechanics. Something you can actually inspect, validate, and trust. Field Guard began as a minimal…

  • Field Guard Stability Certificate Upgraded to Fully Analytic Proof — WP-FG-002 Released

    Field Guard Stability Certificate Upgraded to Fully Analytic Proof — WP-FG-002 Released

    Date: 01/03/2026 Field Guard WP-FG-002 — Fully Analytic AI Stability Certificate Released Focus Keyword: AI stability certificate Meta Description: REAL E3 Systems Oy releases WP-FG-002 — a fully analytic, closed-form stability certificate for Field Guard. Every claim proven analytically. Independently reviewed. Production-ready for AI agents and cyber-physical systems. REAL E3 Systems Oy announces the…

  • Field Guard v1.6‑B

    Field Guard v1.6‑B

    Deterministic Control-Layer Governance for Real‑Time 6D State Systems Author: James FosterIndependent ResearchDate: 2026 Abstract This paper presents Field Guard v1.6‑B, a deterministic control-layer governance mechanism designed to enforce bounded state constraints in a six-dimensional real-time control system (REAL‑E3). Unlike post-hoc filtering or probabilistic moderation approaches, Field Guard operates directly at the control-vector layer, guaranteeing: All results reported…

  • REAL‑E3 Systems Oy Demonstrates 10,000‑Agent Stability Using Field Guard v1.1

    REAL‑E3 Systems Oy Demonstrates 10,000‑Agent Stability Using Field Guard v1.1

    REAL‑E3 Systems Oy has validated Field Guard v1.1 at a 10,000‑agent scale, demonstrating stable, predictable multi‑agent behavior on consumer hardware and positioning Finland as a leader in safe, mathematically governed AI.

  • FIELD GUARD: A NEW LAYER OF AI STABILITY EMERGING IN FINLAND

    The world is racing to build bigger models.More parameters. More compute. More scale.But almost no one is building the layer that keeps those systems stable. Field Guard is that layer. It isn’t a model.It isn’t a fine‑tune.It isn’t a prompt trick. It’s a stabilizer — a system designed to keep multi‑AI environments coherent, predictable,…

  • Something new is emerging in Finland. Not another model. Not another interface. A different layer entirely.

    At REAL E3 Systems Oy, we’re developing a relational‑geometry framework designed to stabilize the space between humans and AI. At the center of it is Field Guard — a stabilizer that prevents drift, distortion, and runaway dynamics in multi‑AI environments. It protects coherence, preserves meaning, and keeps the human at the center of the…