Projects & research

A portfolio with visible maturity boundaries.

This index separates what has been built and evaluated from research underway and directions that remain architectural exploration. It is designed to make the state of the work legible.

AI systems & infrastructureVertical AI systemsResearch in progress
AI systems & infrastructure

Reusable patterns for retrieval, memory and evaluation.

These projects focus on the infrastructure and control patterns that make AI systems more inspectable.

v0.5.1 · Built & evaluated

ARMIE Retrieval Platform

Evaluation-driven retrieval systems engineering across dense, sparse and hybrid retrieval, deterministic constraints, governed natural-language interpretation, observability and reproducible validation.

Current releasev0.5.1 · Governed NL → confirmed RetrievalContract → deterministic Elasticsearch execution.

Project detail ↗
Implemented runtime · Evaluation in progress

Sovereign Companion Runtime

A local-first AI companion runtime designed so identity, memory, relationship state and continuity remain portable across replaceable language models.

Current validationFounder Workbench, persistent Runtime state, local-model execution, provenance and systematic generalization evaluation.

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Vertical AI systems

Domain execution with evidence and bounded claims.

Vertical projects apply the same discipline to a specific information environment without implying a unified production platform.

Public reference implementation

Construction Intelligence Workbench

Auditable BIM and multimodal AI for typed planning, deterministic domain execution, evidence, independent verification and an inspectable audit trail.

Current scopeSynthetic BIM, drawing and viewer workflows in one bounded workspace.

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AWS live · Bedrock-validated

Healthcare AI Platform · AWS

An AWS-native safety and evaluation workbench with authenticated execution, dual async orchestration, persistent evidence and a live Bedrock model under an independent safety boundary.

Current validationCognito, Step Functions/SQS, DynamoDB/S3, live Bedrock execution and capability regression evaluation.

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Public reference implementation

Healthcare AI Platform · Azure

A synthetic healthcare AI reference system combining a Python reasoning runtime with authenticated Azure execution, Durable Functions orchestration, persistent state/evidence, independent safety validation and a React Workbench.

Current validationAzure Dev runtime, identity, durable orchestration, Cosmos/ADLS persistence and Workbench integration.

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Research in progress

Architecture questions being developed, not released products.

These directions have defined intentions and constraints; their practical viability remains an open research question.

Architecture research

Personal AI Superbrain

A direction for traceable personal long-term memory retrieval across events, time, people, documents and other evidence.

Testing nextMemory representation, provenance and retrieval boundaries.

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A shared discipline

Every project needs a useful question, clear limits and a way to inspect the evidence.

Read our method ↗