THE OPEN NOTEBOOK

A book for the curious.

Name: The Welvet feature book
Author: Samuel Watson

70 chapters inside the Welvet AI engine. Start with why it exists, then follow the ideas into layers, learning, and the systems that connect them.

New to the work? Start with Welvet in plain language, then read What Welvet is. Code examples and reported results below are preserved from the source edition. Read the complete book on one page →

Explore:Everything I · Orientation II · Foundation III · Layers IV · Runtime V · Systems VI · Model IO VII · Apps VIII · Stubs IX · Validate

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VII · Apps

apps — octo · flux2 · mosstts

Products must not pollute engine packages. Octo is the model shell; flux2/mosstts are domain apps. Lucy races (AAI test41 / test48 / test50) are benches, not Welvet packages.

VII · Apps

Octo — model shell

A model is only useful with a shell around it: pull weights from Hugging Face, convert them to a Welvet .entity, then chat, serve, or benchmark. Octo is that shell, kept in its own module so

VII · Apps

Cameral sandwiches + AAI Lucy

A single Dense chain cannot host two independent weight copies that share an input, merge, and optionally train under different updates. That is the cameral graph: hemispheres, not screen-sp

VII · Apps

CamSync — inter-cameral / cross-mesh weight blend

Mix BranchModes and different inits let cams diverge on purpose. Sometimes you want them to share — gently (1% pull) or hard (full average) — within a Parallel, across Stack children, or eve