I lead KWIP, an independent AI and software studio. My work brings together machine learning, software architecture, and technical judgment: turning an idea into a useful system, then making its boundaries understandable.
What you’ll find here
The journal covers local AI, product architecture, private defaults, and lessons from building software. Articles explain concrete decisions and tradeoffs rather than treating every new capability as a reason to collect more data or add more features.
Sources and updates
Technical references are linked where they support the discussion. Each article carries its publication date; product details should be read in that historical context. Current capabilities and support information live on the KWIP product pages. Send corrections or questions directly to me.
Contact
contact@kwip.info · Trevor on LinkedIn
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