Notes on Building Practical AI Systems
Architecture decisions, experiments, and lessons learned from building AI systems—often starting small, on local hardware, and under real constraints.
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Reflections, architecture decisions, and lessons learned from recent builds.
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Building a Local AI Assistant
Notes from building a voice assistant served from an RTX machine and accessed over a home network. Covers memory constraints, model selection trade-offs, and what worked (and what didn't).
Read post →This site is a work in progress, shaped by ongoing experiments and real-world constraints.