Projects
The Architect
Production (PyPI)Public • Open-Source
- Autonomous development framework designed for agentic AI programming tools to manage planning, execution, iterative retrying, code review, and persistent memory without human intervention.
- Maintains a persistent project state via ARCHITECT.md to capture cumulative decisions, constraints, and lessons across sessions.
- Employs multi-faceted completion detection and integrated circuit breakers to prevent agent deadlock and hallucinated outputs.
- Supports headless operation and continuous integration workflows with a live tmux dashboard for real-time monitoring.
- Published on PyPI, installable via pip, and compatible with LLMs such as Claude Code and OpenCode.
MHIL
Concept & Early Prototyping (TRL-5)Semi-Stealth • Non‑Profit
- Machine Human Intelligence Lab (MHIL) is a non-profit research institute developing benchmark suites and evaluation methodologies targeting true machine intelligence beyond narrow LLM task accuracy.
- Constructs human-aligned test batteries assessing agent-level capabilities including memory, planning, robustness, and autonomous problem-solving under uncertainty.
- Produces open evaluation matrices for comparative analysis of complex AI systems across models, vendors, and architectures.
- Orients development towards reproducible scorecards, capability tiers, and safety-critical performance thresholds suitable for pre-superintelligent systems and real-world deployment standards.
MazeByte
SOTA Proof of Concept (PoC)Semi-Stealth
- A research project demonstrating a fully autonomous AI agent capable of end-to-end ETL data pipeline automation without human oversight.
- Implements adaptive learning via infant-inspired feedback loops employing reward and pain mechanisms, supplemented with resource-seeking and self-preservation behaviours.
- Generates modular pseudo-code components responsible for long-term memory, search functions, optimisation, and orchestration of data workflows.
- Built around the proprietary MBI model, MazeByte aims to supplant traditional manual data engineering by delivering persistent self-maintained automation solutions.
SightBit
SaaS (TRL-9)Public
- Production-grade computer vision SaaS platform delivering real-time detection of drowning risks, human and vessel presence, and flood alerts leveraging standard CCTV footage alone.
- Eliminates reliance on specialised sensors, edge computing hardware, or bespoke per-site calibration.
- Utilises an advanced panoptic segmentation model enhanced with proprietary data augmentation pipelines to substantially improve recall rates for small objects by 18 percentage points.
AdaptiveBridge
Production-ready (TRL-8)Public • Open-Source
- Open-source Python library designed to enhance machine learning model resilience by dynamically predicting and imputing missing features during inference in production.
- Supports configurable thresholds for feature importance, correlation analysis, and accuracy criteria, integrating custom logic and automated distribution adjustments.
- Provides a drop-in estimator interface with fit-transform methodology for seamless embedding into existing ML workflows.
- Manages complex feature dependencies, including mandatory, deviation, and leveled features, to ensure robust model performance.
- Delivered with comprehensive documentation, unit tests, and continuous integration, published under a permissive open-source license on PyPI.
Jhive
Production (TRL-7)Public • AIforGood
- Django-based application utilising the OpenAI API for real-time detection and classification of antisemitic content.
- Features a detailed reporting interface to facilitate content analysis and stakeholder review.
- Offers RESTful API endpoints with built-in rate limiting to support scalable integration into external systems.
- Incorporates rigorous input validation and sanitisation mechanisms to mitigate injection attacks and ensure data integrity.