feat(mavweb): /ecosystem page consuming Nexus/Praxis/Hexis + shell fixes

Add a read-only /ecosystem page that consumes the sibling services'
JSON APIs (Nexus entities, Praxis attention, Hexis capabilities),
fetched concurrently with honest per-panel error states. Siblings stay
headless — mavweb is their human surface (arch §16). Wired via mavweb
-nexus/-praxis/-hexis flags; mavweb joins the ecosystem compose network.

Fix mobile horizontal overflow across all pages: .content is a flex
child with default min-width:auto, so it refused to shrink below the
tables' intrinsic width. min-width:0 lets wide tables pan inside .scroll
instead of dragging the page sideways. Verified via CDP geometry check
(scrollWidth === clientWidth at 430px).

Also includes in-progress Ethos UI redesign, ecosystem deploy compose,
and planning docs.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

SPEC.md

@@ -41,6 +41,15 @@ The server has iGPU + Vulkan. whisper.cpp already uses Vulkan; piper uses CPU
 (lightweight, real-time). Stubs let the daemon exercise end-to-end without
 any model files.
 
+## Resident language model
+
+One Qwen3-1.7B llama-server process serves both the grammar-constrained route
+contract and the persona/response contract. The target artifact is produced by
+RU continued pretraining followed by joint persona/router SFT. Stage-0 grammar,
+the classifier and stub phrasing remain availability fallbacks. A larger
+on-demand reasoner and custom TTS training are deferred until the main feature
+set is complete.
+
 ## Auth model
 
 A cascade, not a pick-one:
@@ -145,7 +154,7 @@ the append-only design means no existing row needs updating.
 |----------|-----------|---------|
 | CPU | Ryzen, 13GB RAM | loop, router classifier, delivery |
 | iGPU | Vulkan-capable | whisper.cpp (STT), piper (TTS) |
-| GPU layers | llama-server with `-ngl -1` | LFM 2.5-1.2B phraser |
+| GPU layers | llama-server with `-ngl -1` | Qwen3-Maven-1.7B resident model |
 
 Models are per-component, downloaded separately (gitignored `models/` dir).
 No model is baked into the binary.