Writing

Case studies & technical writing.

Architecture decisions documented in full. How things were built, why they were built that way, and what the tradeoffs were.

W-04 Coming June 2026
Hardware Overclocking Performance
~10 min read

Pushing the Limits — Overclocking SPECULAR-CORE

Hardware Tuning // Coming Soon

A documented walkthrough of overclocking the SPECULAR-CORE build — methodology, stability testing, thermal management, and the performance gains that actually matter for LLM inference and real-time audio processing.

CPU Overclocking RAM Tuning Thermal Management Stability Testing LLM Inference Gains
Coming soon
W-03 27 May 2026
AI / LLMs RAG DevOps Docker
~12 min read

Building a Private AI Infrastructure From Scratch

Ramone — Local AI System // Case Study

How I designed and built a fully self-hosted AI system running five LLMs locally on consumer hardware — zero cloud dependency, zero data egress. This covers the full stack: WSL2 as the hypervisor layer, Ollama for model serving, Docker for containerisation, and Open WebUI as the interface. Includes the boot automation system, RAG pipeline architecture, and the hardware portability decisions that make the whole thing rebuildable in under 30 minutes.

System Architecture Model Selection RAG Pipeline Design Boot Automation Hardware Decisions Workbot Engineering
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W-02 30 April 2026
Audio Systems Game Dev Unreal Engine 5
~15 min read

Engineering a 15-Stem Dynamic Audio Engine for Competitive Play

SlamPunk — Dynamic Mix Engine // Case Study

A deep technical breakdown of the audio architecture behind SlamPunk — how a 15-stem interactive music system was designed to mirror player performance in real time, the MetaSound graph structure, the Blueprint logic driving intensity transitions, and the spectral carving decisions that keep competitive gameplay cues surgically clear at peak musical intensity.

Stem Architecture MetaSound Design Blueprint Logic Submix Hierarchy Sidechain Ducking Export Pipeline
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W-01 28 March 2026
Generative Audio Max/MSP DSP Jitter
~14 min read

Building an Autonomous Generative Audio-Visual System

SONIN — Dual-Engine Generative System // Case Study

A full technical breakdown of SONIN — an autonomous digital instrument built in Max/MSP that composes its own evolving music and visuals in real time by continuously listening and reacting to the sounds it creates. Covers the dual-engine architecture, the three engineering problems that nearly broke it, and the DSP solutions that made it stable.

Melodic Engine Granular Synthesis Feedback Loop GPU Visual Pipeline DSP Problem Solving Max/MSP Architecture
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