Journal
Articles and updates
Essays, technical deep-dives and team stories — on local AI models and data privacy.
What is maxOS
maxOS is an open-source AI-native platform based on local models. Its open-source core is a coding agent: how it works, how models are connected, and where SpotMax fits in.
June 15, 2026 · 5 min read
Why creating isn't enough
An essay on the second half of the work that almost everyone despises: why a brilliant thing that wasn't carried loses to a mediocre thing that was, and why value is born not in the making but in the meeting of the made thing with the person who needs it.
June 15, 2026 · 5 min read
AI is leaving the cloud: the data behind the shift to on-device compute (2024–2029)
A neutral, data-driven breakdown with charts: how much AI inference is moving from servers to user devices, what Gartner, IDC and Counterpoint forecast, and why the shift is durable. With links to primary sources.
June 14, 2026 · 6 min read
How SpotMax works: transcription, translation and live hints during a call
A step-by-step look at what happens when you run SpotMax over Zoom, Meet or Teams: system-audio capture, speech recognition, speaker diarization and real-time hints.
June 13, 2026 · 2 min read
Where Your Voice Goes: What is Processed on the Device and What in the Cloud
An honest breakdown of what runs locally in SpotMax, what might go to the cloud, and why the absence of a centralized database means there is no backdoor. For medicine, law, finance, and the public sector.
June 12, 2026 · 3 min read
Why we pay up to $10,000 for improving local models
Open bounty program: if you improve a local recognition, diarization, or translation model beyond existing open-source alternatives, we pay from $100 to $10,000 depending on the result.
June 11, 2026 · 2 min read