Websauna Co / AI
I wanted a private, offline note-taking assistant that I could carry around on a cheap, low-power device. The Raspberry Pi 5—when paired with the right model and software—lets you do exactly that: run a local language model that summarizes,...
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I test a lot of tiny devices—fitness bands, smart rings, and the occasional prototype smartwatch—and one question always comes up: how do you meaningfully evaluate on-device AI when battery life is the limiting factor? It’s tempting to point...
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Keeping a large language model (LLM) healthy in production feels a bit like tending a high-maintenance houseplant: ignore it for too long and it wilts, water it too much and you drown it. In the last few years I’ve watched teams move from...
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Buying an enterprise AI observability tool is one of those decisions that looks simple on a feature sheet and quickly becomes painful in production. I’ve sat in more vendor demos than I’d like to admit, built my own ad‑hoc monitoring stacks,...
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I’ve spent the past year benchmarking vector databases as part of larger semantic search projects, and one thing became quickly clear: choosing a vector database is less about raw recall numbers and more about trade-offs between usability,...
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I’ve spent the last few years building and evaluating machine learning systems for real teams, so when customers ask whether they should “retrain” a large language model (LLM) on their proprietary data, my first reaction is: there’s no...
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I test AI products for a living, and one thing that never stops surprising me is how often "explainability" is treated as either a checkbox or a vague marketing line. Reviewers will praise a model for being "transparent" or criticize it for being a...
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I’ve spent years watching teams drown in time-series telemetry: terabytes of sensor data streaming into lakes, dashboards overflowing with metrics, and engineers still caught off guard when a pump or motor fails. The irony is that more data rarely...
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I’ve spent years testing and explaining how software actually behaves in the wild, and bias in AI-powered hiring tools is one of those topics where nuance matters. On paper, an automated resume screener or an interview-sentiment model promises...
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I’ve been obsessed with the idea that real intelligence doesn't have to live in the cloud. Watching devices that run for years on coin cells or tiny LiIon packs do genuinely useful, low-latency inference has felt like a slow-moving revolution for...
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