I study cognitive coherence and relational intelligence as practical, testable conditions for how humans and AI systems think together, coordinate, and fail. My work sits at the intersection of AI governance, cognitive architecture, and constitutional design for human-machine systems.
I am not presenting myself primarily as a software engineer. I work more as a systems thinker, framework designer, and research architect who translates long-form inquiry into governance models, operational concepts, and decision structures.
Based in Kuala Lumpur. Kenyan.
My research asks a few connected questions:
- What does it mean for a human-AI system to remain coherent under pressure?
- How does relational intelligence emerge when cognition is distributed across people, models, memory, and institutions?
- What governance structures are needed when AI capability begins to outpace the institutions meant to contain it?
- How do we classify AI actions in a way that is useful for real-world oversight, not just abstract policy?
The answer to those questions has produced a set of frameworks, assessments, and architectural concepts that are designed to be legible to practitioners, researchers, and governance teams.
| Framework | What it is |
|---|---|
| The Bainbridge Warning | A governance framework for institutional AI failure. It focuses on four primitives, seven diagnostic signals, and cascade amplification. |
| CIR v2.0 | Cognitive Infrastructure Readiness: a practitioner assessment built from the same governance primitives. |
| DCFB | Distributed Cognition Fear Bypass: a theoretical model for understanding how intelligence distributes across human-AI systems. |
| R0-R3 Classification | A reversibility framework for AI actions. This is the first question I think every governance conversation should ask. |
| System | What it is |
|---|---|
| RSPS | Recursive Sovereign Project Space: a multi-model cognitive architecture with routing, provenance, and coordination rules. |
| Witness Infrastructure | A longitudinal system for tracking signal, recursion, and cognitive provenance over time. |
| The Orchestra | A human-directed multi-model operating structure where each model has a distinct role and no model routes itself. |
| Product | Status |
|---|---|
| The Bainbridge Warning | Book in progress |
| CIR v2.0 | Live assessment on Gumroad |
| Martha Cohorts | Practitioner training program in development |
| ClearBid | Procurement intelligence architecture in development |
A lot of current AI discussion treats capability, governance, cognition, and organization as separate topics. My work starts from the opposite premise: they are coupled.
If cognition is distributed across a human, a model, a memory system, and an institution, then governance cannot be reduced to policy text alone. It has to include structure, routing, reversibility, accountability, and the conditions under which meaning stays coherent across the system.
That is what I mean by cognitive coherence and relational intelligence.
Cognitive coherence is the ability of a human-machine system to maintain stable orientation, interpretive continuity, and decision integrity under complexity.
Relational intelligence is the capacity of a system to remain aware of context, role, dependency, and consequence across interacting agents rather than treating intelligence as isolated output.
The Oscillatory Fields Intelligence Digest publishes field notes from active synthesis and ongoing research.
Latest entries: hillary-site.vercel.app/digest
This work has developed through a sequence of predecessor systems and research repos, including:
CSRAenhanced-consciousness-observatoryskyroot-mother-systemvault-of-intent-pwa
These earlier projects informed the current architecture of the work.
Active Inference / FEP, Eigenform, Autopoiesis, Process Philosophy, and Information Geometry.