Advanced Architectures · Near-AGI System Design

Designing reasoning systems that do not fall apart under real-world complexity.

This page is for people who live close to the frontier: labs, founders, and investors who are already touching emergent behaviour. We work on the scaffolding around such systems — how they remember, how they reason, what they are allowed to do, and how they fail safely when the world pushes back.

Invariant-Gated Long Reasoners (IGLR)

Architectures for multi-step reasoning that must stay self-consistent as context expands and goals evolve.

Gated reasoning chains with hard invariants that cannot be crossed.
Structured “self-doubt” checkpoints and counter-factual branches.
Explicit separation of what the system thinks vs what it is allowed to do.
Designs that stabilise under load rather than amplifying drift.

Autonomous Memory Lattices

Memory systems that do more than store text — they encode responsibilities, obligations, and reversible commitments.

Multi-layered memory (working, episodic, institutional).
Retention policies tied to risk, not just token count.
Patterns for “forgetting safely” without losing auditability.
Lattices that can be transplanted between model generations.

Safety, Overrides & Governance

Control surfaces for systems that have genuine leverage in the world.

Toolchain integrity & reversible action pathways.
Well-defined “operating envelopes” and hard stops.
Human-in-the-loop and human-on-the-loop oversight designs.
Structured audit traces that regulators, boards, and insurers can actually read.

Capability Under Adversarial Pressure

How the system behaves when the environment is actively trying to game it.

Red-team prompt patterns and escalation paths.
Resilience against goal-hijacking and covert optimisation.
Stress-testing chains of thought under conflicting objectives.
Simulation harnesses for “what happens if this is mis-used?”

How we usually work

Engagement patterns for frontier systems

Every organisation arrives with different constraints. The patterns below are typical starting points, not fixed products.

1. Architecture Audit

We review your current or planned setup: models, tools, data flows, control surfaces, incentives. Output is a direct report: where it is fragile, where it quietly violates its own assumptions, and where you are carrying more risk than you realise.

2. Design Sprint

A focused sprint to design or refactor the core reasoning architecture, invariants, and safety surfaces. We leave you with reference diagrams, threat models, and an implementation roadmap your team can execute.

3. Co-Lab Build or Oversight

We either co-build with your engineers or act as an architectural conscience while they execute. The goal is simple: systems that do what you intended, and fail in ways you can live with.

If you are already running experiments with emergent behaviour and need another pair of eyes — or want to pressure-test a design before you ship — you can start with a short briefing and an architecture review.

→ Email to request an advanced architecture discussion