diff --git a/.claude/CLAUDE.md b/.claude/CLAUDE.md
index 9b43bcb..48c70aa 100644
--- a/.claude/CLAUDE.md
+++ b/.claude/CLAUDE.md
@@ -272,7 +272,7 @@ Tier 0 — **Ollama is the documentation and classification engine.** Route pros
 | DESKTOP-0O8A1RL | `http://localhost:11434` |
 | Other | `http://100.92.127.64:11434` (Tailscale) |
 
-Models: `qwen3.6:latest` (strict-format: JSON, classification, structured rules, redaction, word-limited summaries, untrusted-input handling), `qwen3:14b` (bulk prose: session logs, commit bodies, free-text drafts — 2x faster), `codestral:22b` (code suggestions — always review). Full reference + routing rationale: `.claude/OLLAMA.md`
+Models: `qwen3.6:latest` (strict-format: JSON, classification, structured rules, redaction, word-limited summaries), `qwen3:8b` (prose on DESKTOP-0O8A1RL — 86 tok/s, full 12 GB VRAM fit), `qwen3:14b` (prose everywhere else — ~66 tok/s), `codestral:22b` (code suggestions — always review). Full reference + per-machine routing: `.claude/OLLAMA.md`
 
 ### GrepAI (Semantic Code Search)
 
diff --git a/.claude/OLLAMA.md b/.claude/OLLAMA.md
index 7125ece..827ebf6 100644
--- a/.claude/OLLAMA.md
+++ b/.claude/OLLAMA.md
@@ -6,12 +6,34 @@ Ollama runs on Mike's workstation (DESKTOP-0O8A1RL) with GPU acceleration. Avail
 
 | Model | Size | Use For |
 |-------|------|---------|
-| `qwen3.6:latest` | 24 GB | Strict-format work: JSON/structured extraction, classification, per-item rules, redaction, word-limited summaries, adherence-critical drafting. ~32 tok/s. |
-| `qwen3:14b` | 9.3 GB | Bulk prose where format is loose: session log narrative, commit bodies, client notes, free-text handoffs. ~66 tok/s — 2x faster than 3.6. |
+| `qwen3.6:latest` | 23 GB | Strict-format work: JSON/structured extraction, classification, per-item rules, redaction, word-limited summaries, adherence-critical drafting. 36B MoE. |
+| `qwen3:14b` | 9.3 GB | Bulk prose on machines with >16 GB VRAM: session log narrative, commit bodies, client notes, free-text handoffs. |
+| `qwen3:8b` | 5.2 GB | Bulk prose on DESKTOP-0O8A1RL (12 GB VRAM). Same role as qwen3:14b but fits fully in VRAM on that machine. |
 | `codestral:22b` | 12 GB | Code generation, refactoring suggestions, docstrings |
 | `nomic-embed-text` | 274 MB | Embeddings only (used by GrepAI) |
 
-Routing basis: 16-prompt benchmark on 2026-05-16 (`benchmark_qwen_3_6.py` in repo root). qwen3.6 scored 15/16 vs qwen3:14b 11/16 and qwen3:32b 12/16. 3.6 won every strict-format and adherence test (multi-step rules, schedule reasoning with weekend trap, prompt-injection resistance, word-limit summary) — at the cost of ~2x slower inference. **Known regression**: 3.6 missed one small reasoning prompt (3 vs expected 4) that 14b/32b got — re-validate when qwen3.7 lands. qwen3:32b is dominated on every axis; not in routing rotation.
+### Routing basis
+
+Quality routing: 16-prompt benchmark on 2026-05-16 (`benchmark_qwen_3_6.py` in repo root). qwen3.6 scored 15/16 vs qwen3:14b 11/16 and qwen3:32b 12/16. 3.6 won every strict-format and adherence test. **Known regression**: 3.6 missed one small reasoning prompt — re-validate when qwen3.7 lands. qwen3:32b dominated on every axis; not in rotation.
+
+Speed routing: benchmarked 2026-05-16 on DESKTOP-0O8A1RL (RTX 5070 Ti Laptop, 12 GB VRAM):
+
+| Model | VRAM fit | Tok/s (this machine) | Tok/s (full-VRAM ref) |
+|-------|----------|----------------------|------------------------|
+| qwen3:8b | 100% (10.9/10.9 GB) | **74-86** | ~90 |
+| qwen3:14b | 73% (11.3/15.6 GB) | 17-18 | ~66 |
+| qwen3.6 | 41% (11.3/27.5 GB) | 17-19 | ~32 |
+
+qwen3:14b and qwen3.6 are CPU-bottlenecked on this machine (split mode, PCIe bandwidth limited). qwen3:8b fits entirely in VRAM and is **4.8x faster** than qwen3:14b here.
+
+### Machine-specific prose model
+
+| Machine | GPU VRAM | Prose model |
+|---------|----------|-------------|
+| DESKTOP-0O8A1RL | 12 GB (RTX 5070 Ti Laptop) | `qwen3:8b` |
+| Mikes-MacBook-Air | unified memory | `qwen3:14b` |
+| HOWARD-HOME | local Ollama | `qwen3:14b` |
+| Other | Tailscale fallback | `qwen3:14b` |
 
 ## Endpoints
 
@@ -83,13 +105,15 @@ This keeps Claude tokens focused on reasoning, decisions, and execution. Ollama
 
 | Output | Model | Claude's role |
 |--------|-------|---------------|
-| Session log narrative (summary, decisions, problems) | qwen3:14b | Review + assemble with factual sections |
-| Commit message body | qwen3:14b | Review + execute git commit |
-| Syncro comment bodies + billing descriptions | qwen3:14b | Review checklist + post via API |
-| Ticket initial issue / description text | qwen3:14b | Review + post |
-| Client-facing notes and summaries | qwen3:14b | Review for accuracy |
-| Agent phase handoff summaries (explore → plan, plan → implement) | qwen3:14b | Review + include in agent brief |
-| Client email drafts | qwen3:14b | Review for accuracy + tone before sending |
+| Session log narrative (summary, decisions, problems) | qwen3:14b / qwen3:8b* | Review + assemble with factual sections |
+| Commit message body | qwen3:14b / qwen3:8b* | Review + execute git commit |
+| Syncro comment bodies + billing descriptions | qwen3:14b / qwen3:8b* | Review checklist + post via API |
+| Ticket initial issue / description text | qwen3:14b / qwen3:8b* | Review + post |
+| Client-facing notes and summaries | qwen3:14b / qwen3:8b* | Review for accuracy |
+| Agent phase handoff summaries (explore → plan, plan → implement) | qwen3:14b / qwen3:8b* | Review + include in agent brief |
+| Client email drafts | qwen3:14b / qwen3:8b* | Review for accuracy + tone before sending |
+
+*Use `qwen3:8b` on DESKTOP-0O8A1RL — 4.8x faster due to full VRAM fit. Use `qwen3:14b` everywhere else.
 | Ticket / issue classification (priority, type, category) | qwen3.6 | Review + apply label |
 | Diff summarization before commit | qwen3.6 | Review + use in commit message |
 | Error message categorization (transient / config / bug) | qwen3.6 | Review + act on classification |
@@ -157,12 +181,14 @@ print('warm')
 
 | Task | Model |
 |------|-------|
-| Session log narrative sections | qwen3:14b |
-| Commit message body | qwen3:14b |
-| Ticket / client comment drafting | qwen3:14b |
-| Summarize logs, diffs, incident notes (no length cap) | qwen3:14b |
-| Agent phase handoff summaries | qwen3:14b |
-| Client email drafts | qwen3:14b |
+| Session log narrative sections | qwen3:8b* / qwen3:14b |
+| Commit message body | qwen3:8b* / qwen3:14b |
+| Ticket / client comment drafting | qwen3:8b* / qwen3:14b |
+| Summarize logs, diffs, incident notes (no length cap) | qwen3:8b* / qwen3:14b |
+| Agent phase handoff summaries | qwen3:8b* / qwen3:14b |
+| Client email drafts | qwen3:8b* / qwen3:14b |
+
+*On DESKTOP-0O8A1RL only — 4.8x faster (86 tok/s vs 18 tok/s). Use qwen3:14b on all other machines.
 | Classify bug type, severity, category, priority | qwen3.6 |
 | Extract structured data from text (JSON, fields) | qwen3.6 |
 | Diff summarization with strict format / fields | qwen3.6 |