Cloud vs local transcription
Privacy, upload time, shared dashboards, predictable cost, and why mandatory uploads are not always the best starting point.
Architecture Guides
Comparisons that explain tradeoffs instead of pretending one model fits every workflow
These pages are written to clarify architecture decisions, not to attack competitors. Local AI, browser inference, and server orchestration each solve different problems. The useful question is which tradeoff matches the job in front of you.
WebGPU vs WASM AI
Acceleration versus portability, and why a serious browser product usually needs both execution paths.
Generalized vs adaptive inference
Why hardware-aware scheduling outperforms a fixed pipeline when browsers and GPUs behave inconsistently.
Browser AI vs server AI
Latency, control, operational complexity, and what changes when the browser becomes the runtime instead of a client.