local-first AI
Interfaces and gateways that make local models feel fast, inspectable, and useful in real workflows.
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Focus areas
Local AI infrastructure, developer tools, creative technology, and web experiences that feel alive.
Interfaces and gateways that make local models feel fast, inspectable, and useful in real workflows.
Agent loops, protocol layers, CLIs, and product surfaces built for people who ship software.
Memory, workflow, and context systems for making creative output compound instead of scatter.
Cinematic web surfaces, music systems, live events, and worlds that feel inhabited.
Projects
OpenAI/Anthropic-compatible shim for local llama.cpp inference.
Turns fragmented local inference APIs into a stable agent target.
Terminal-native agent loop for quantized local and cloud models.
Makes the agent loop inspectable while code is being changed.
Structured creative memory with SQLite FTS5 search and local LLM assistance.
Keeps creative context available instead of scattered across tools.
Electronic music, events, merch, and worldbuilding.
Connects releases, events, content, and commerce into one world.
Background
I build across model gateways, coding agents, creative operating systems, edge-deployed applications, and self-hosted infrastructure. The throughline is local-first architecture, fast feedback loops, and interfaces that reveal how the system behaves.
ResumeWriting
Notes on local inference, agent observability, protocol design, creative tooling, self-hosted infrastructure, and the build process behind this portfolio system.
Notes