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/docs.html

@@ -49,7 +49,7 @@
   <ul>
     <li><strong>Model:</strong> Qwen3.8-Flash-Next, UD-IQ4_XS (87.3 GiB).</li>
     <li><strong>Capacity:</strong> 200k-token context, exactly one conversation at a time. A second waits — politely, but it waits.</li>
-    <li><strong>Best for:</strong> long, thoughtful text conversations.</li>
+    <li><strong>Best for:</strong> cybersecurity and debugging tasks. <em>Use requires Frank's permission.</em></li>
     <li><strong>Not for:</strong> images. It cannot see them.</li>
   </ul>
 
@@ -57,19 +57,20 @@
   <ul>
     <li><strong>Model:</strong> Gemma4-12B QAT (Balanced, Q4_K_M, 7.4 GiB).</li>
     <li><strong>Capacity:</strong> one million tokens of pooled context across four simultaneous conversations (up to 262k each).</li>
-    <li><strong>Best for:</strong> anything with a picture — screenshots, photos, diagrams. Fastest decode of the fleet at long context, and the endpoint that gets most daily traffic.</li>
+    <li><strong>Best for:</strong> the fast, cheap utility model — agentic search, text/audio/image RAG, research subagents, language translation, roleplaying games, summarization, and anything with a picture (screenshots, photos, diagrams). Any small utility task that doesn't require much intelligence.</li>
   </ul>
 
   <h2>frank-medium — the 27B generalist</h2>
   <ul>
     <li><strong>Model:</strong> Qwen3.8-27B-Uncensored, FP8 (~31 GiB).</li>
     <li><strong>Capacity:</strong> 262k-token context shared by up to eight conversations at once. It can see pictures too; <code>frank-small</code> is the faster eye and holds four conversations.</li>
-    <li><strong>Best for:</strong> general chat and reasoning when the big brain is busy — and the only seat with eight chairs at once.</li>
+    <li><strong>Best for:</strong> the primary intelligent model — it surpasses Claude Sonnet 5 per Artificial Analysis. Use it for software engineering, system administration, and instruction tasks.</li>
   </ul>
 
-  <p class="foot-note">Which one to pick? Screenshots and photos: <code>frank-small</code>.
+  <p class="foot-note">Which one to pick? Small utility work, RAG, search, and
-  Deep long-text work: <code>frank-large</code> (mind the single seat).
+  screenshots: <code>frank-small</code>. Software engineering, sysadmin, and
-  When in doubt: <code>frank-medium</code>.</p>
+  instruction tasks: <code>frank-medium</code>. Cybersecurity and debugging:
+  <code>frank-large</code> (with Frank's permission).</p>
 </section>
 
 <section id="media">

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",