homepage: add suggested uses to the three LLM model descriptions

frank-large: cybersecurity + debugging (requires Frank's permission)
frank-medium: primary intelligent model (surpasses Claude Sonnet 5 per
  Artificial Analysis) — software engineering, sysadmin, instruction tasks
frank-small: fast/cheap utility model — agentic search, RAG, research
  subagents, translation, roleplay, summarization, small utility tasks

Updated both the status cards (services.json) and the /docs model guide.

shared/homepage/services.json

@@ -267,7 +267,7 @@
     "name": "frank-large",
     "category": "user",
     "section": "AI",
-    "description": "Qwen3.8-27B (UD-Q8_K_XL, 31.5 GiB) — 262k-token context, one conversation at a time. The big brain: long, thoughtful text conversations, DFlash2 spec decode. Text only; it cannot see images.",
+    "description": "Qwen3.8-27B (UD-Q8_K_XL, 31.5 GiB) — 262k-token context, one conversation at a time. The big brain: long, thoughtful text conversations, DFlash2 spec decode. Text only; it cannot see images. Suggested use: cybersecurity and debugging tasks — use requires Frank's permission.",
     "url": "",
     "docs": "/docs#models",
     "probe": "127.0.0.1:7770",
@@ -279,7 +279,7 @@
     "name": "frank-medium",
     "category": "user",
     "section": "AI",
-    "description": "Qwen3.8-27B-Uncensored (MXFP4/W4A8, 19.4 GiB) — 262k-token context shared by up to eight conversations. The generalist: chat and reasoning, and it sees images.",
+    "description": "Qwen3.8-27B-Uncensored (MXFP4/W4A8, 19.4 GiB) — 262k-token context shared by up to eight conversations. The primary intelligent model: surpasses Claude Sonnet 5 per Artificial Analysis. Suggested use: software engineering, system administration, and instruction tasks. It sees images.",
     "url": "",
     "docs": "/docs#models",
     "probe": "192.168.0.235:7770",
@@ -291,7 +291,7 @@
     "name": "frank-small",
     "category": "user",
     "section": "AI",
-    "description": "Gemma4-12B QAT (Q4_K_M, 7.4 GiB) — 1M-token pool across four 262k-token conversations. The eyes: screenshots, photos, diagrams; the fastest of the three.",
+    "description": "Gemma4-12B QAT (Q4_K_M, 7.4 GiB) — 1M-token pool across four 262k-token conversations. The fast, cheap utility model and the eyes (screenshots, photos, diagrams). Suggested use: agentic search, text/audio/image RAG, research subagents, language translation, roleplaying games, summarization — any small utility task that doesn't require much intelligence.",
     "url": "",
     "docs": "/docs#models",
     "probe": "127.0.0.1:7771",