diff --git a/docs/evals/weekly/2026-06-09.md b/docs/evals/weekly/2026-06-09.md
new file mode 100644
index 0000000..571b385
--- /dev/null
+++ b/docs/evals/weekly/2026-06-09.md
@@ -0,0 +1,94 @@
+# ahd eval · swiss-editorial · 2026-06-09T06:14:00.070Z
+
+```yaml ahd-replay
+schema_version: 1
+kind: eval-live
+ahd_version: 0.11.0
+ahd_commit: d641dceb6870c4e7845375eb0d0df6694ff454d1
+git_dirty: true
+node_version: v20.20.2
+platform: linux-x64
+invoked_at: 2026-06-09T05:48:53.232Z
+token:
+  path: /home/runner/work/ahd/ahd/tokens/swiss-editorial.yml
+  hash: sha256:380a3d833d94
+brief:
+  path: briefs/landing.yml
+  hash: sha256:8b7d42759643
+sampling:
+  n: 30
+  temperature: null
+  seed: null
+models:
+  - id: @cf/google/gemma-4-26b-a4b-it
+    provider: cloudflare-workers-ai
+    provider_request_ids: 60 captured
+  - id: @cf/meta/llama-4-scout-17b-16e-instruct
+    provider: cloudflare-workers-ai
+    provider_request_ids: 60 captured
+  - id: @cf/mistralai/mistral-small-3.1-24b-instruct
+    provider: cloudflare-workers-ai
+    provider_request_ids: 60 captured
+  - id: @cf/openai/gpt-oss-120b
+    provider: cloudflare-workers-ai
+    provider_request_ids: 60 captured
+  - id: @cf/qwen/qwen3-30b-a3b-fp8
+    provider: cloudflare-workers-ai
+    provider_request_ids: 60 captured
+conditions:
+  requested: [raw, compiled]
+  effective: [raw, compiled]
+```
+
+Replay this run:
+
+```sh
+git checkout d641dceb6870
+npm ci && npm run build
+/opt/hostedtoolcache/node/20.20.2/x64/bin/node /home/runner/work/ahd/ahd/bin/ahd.js eval-live swiss-editorial --brief briefs/landing.yml --models cf:@cf/google/gemma-4-26b-a4b-it,cf:@cf/meta/llama-4-scout-17b-16e-instruct,cf:@cf/mistralai/mistral-small-3.1-24b-instruct,cf:@cf/openai/gpt-oss-120b,cf:@cf/qwen/qwen3-30b-a3b-fp8 --n 30 --sample-concurrency 6 --out evals --report docs/evals/weekly/2026-06-09.md
+```
+
+## Run
+
+- Brief: `briefs/landing.yml`
+- Samples per cell: **30**
+- Max tokens: 12000
+- Models:
+  - `@cf/google/gemma-4-26b-a4b-it` (cloudflare-workers-ai) · spec `cf:@cf/google/gemma-4-26b-a4b-it`
+  - `@cf/meta/llama-4-scout-17b-16e-instruct` (cloudflare-workers-ai) · spec `cf:@cf/meta/llama-4-scout-17b-16e-instruct`
+  - `@cf/mistralai/mistral-small-3.1-24b-instruct` (cloudflare-workers-ai) · spec `cf:@cf/mistralai/mistral-small-3.1-24b-instruct`
+  - `@cf/openai/gpt-oss-120b` (cloudflare-workers-ai) · spec `cf:@cf/openai/gpt-oss-120b`
+  - `@cf/qwen/qwen3-30b-a3b-fp8` (cloudflare-workers-ai) · spec `cf:@cf/qwen/qwen3-30b-a3b-fp8`
+
+## Per-model slop reduction
+
+| model | raw attempted → scored | compiled attempted → scored | raw mean tells | compiled mean tells | Δ | reduction |
+|---|---:|---:|---:|---:|---:|---:|
+| `@cf/google/gemma-4-26b-a4b-it` | 30 → 30 | 30 → 30 | 2.67 | 1.23 | 1.43 | 53.8% |
+| `@cf/meta/llama-4-scout-17b-16e-instruct` | 30 → 30 | 30 → 30 | 2.00 | 2.00 | 0.00 | 0.0% |
+| `@cf/mistralai/mistral-small-3.1-24b-instruct` | 30 → 30 | 30 → 30 | 3.40 | 1.07 | 2.33 | 68.6% |
+| `@cf/openai/gpt-oss-120b` | 30 → 30 | 30 → 30 | 3.17 | 0.87 | 2.30 | 72.6% |
+| `@cf/qwen/qwen3-30b-a3b-fp8` | 30 → 30 | 30 → 30 | 1.93 | 2.00 | -0.07 | -3.4% |
+
+## Per-tell frequency (scored samples only)
+
+| tell | @cf/google/gemma-4-26b-a4b-it/raw | @cf/google/gemma-4-26b-a4b-it/compiled | @cf/meta/llama-4-scout-17b-16e-instruct/raw | @cf/meta/llama-4-scout-17b-16e-instruct/compiled | @cf/mistralai/mistral-small-3.1-24b-instruct/raw | @cf/mistralai/mistral-small-3.1-24b-instruct/compiled | @cf/openai/gpt-oss-120b/raw | @cf/openai/gpt-oss-120b/compiled | @cf/qwen/qwen3-30b-a3b-fp8/raw | @cf/qwen/qwen3-30b-a3b-fp8/compiled |
+|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
+| ahd/body-measure | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 3% |
+| ahd/line-height-per-size | 87% | 0% | 0% | 100% | 53% | 20% | 100% | 0% | 80% | 57% |
+| ahd/no-default-grotesque | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 3% | 0% | 0% |
+| ahd/no-em-dashes-in-prose | 0% | 0% | 0% | 0% | 0% | 0% | 7% | 0% | 0% | 0% |
+| ahd/no-flat-dark-mode | 7% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 10% | 0% |
+| ahd/radius-hierarchy | 50% | 10% | 0% | 100% | 100% | 0% | 77% | 7% | 23% | 43% |
+| ahd/require-named-grid | 0% | 0% | 100% | 0% | 100% | 47% | 30% | 0% | 0% | 0% |
+| ahd/require-type-pairing | 23% | 0% | 100% | 0% | 87% | 0% | 53% | 0% | 70% | 0% |
+| ahd/tracking-per-size | 0% | 27% | 0% | 0% | 0% | 30% | 0% | 3% | 0% | 0% |
+| ahd/weight-variety | 100% | 87% | 0% | 0% | 0% | 10% | 50% | 73% | 10% | 97% |
+
+## Caveats
+- Scoring runs the deterministic AHD linter (38 source-level rules) over every sample that passes a basic HTML sanity check.
+- Counts reported per cell: attempted (runs initiated) / errored (API / runtime errors) / extractionFailed (response contained no usable HTML) / scored (linted). A large gap between attempted and scored is a signal that the model is struggling with the instruction, not that it passed the taxonomy.
+- Raw condition: the brief is expanded as plain prose (intent + audience + surfaces + mustInclude + mustAvoid) with no AHD system prompt, no style token, no forbidden list. Compiled condition: same brief plus the AHD-compiled system prompt. The only thing that differs between conditions is the AHD intervention.
+- Vision-only tells (14 rules in the critic) are not scored in this pipeline; run the critic on rendered screenshots for full taxonomy coverage.
+- Tells-per-page is a proxy metric: a thin page has little surface for rules to fire against. Read the Δ alongside the actual rendered HTML, not in isolation.
+- Model versions change. See the run manifest for exact canonical model ids.
\ No newline at end of file
diff --git a/docs/evals/weekly/2026-06-09.replay.json b/docs/evals/weekly/2026-06-09.replay.json
new file mode 100644
index 0000000..66757ae
--- /dev/null
+++ b/docs/evals/weekly/2026-06-09.replay.json
@@ -0,0 +1,383 @@
+{
+  "schema_version": 1,
+  "kind": "eval-live",
+  "ahd_version": "0.11.0",
+  "ahd_commit": "d641dceb6870c4e7845375eb0d0df6694ff454d1",
+  "git_dirty": true,
+  "node_version": "v20.20.2",
+  "platform": "linux-x64",
+  "invoked_at": "2026-06-09T05:48:53.232Z",
+  "argv": [
+    "/opt/hostedtoolcache/node/20.20.2/x64/bin/node",
+    "/home/runner/work/ahd/ahd/bin/ahd.js",
+    "eval-live",
+    "swiss-editorial",
+    "--brief",
+    "briefs/landing.yml",
+    "--models",
+    "cf:@cf/google/gemma-4-26b-a4b-it,cf:@cf/meta/llama-4-scout-17b-16e-instruct,cf:@cf/mistralai/mistral-small-3.1-24b-instruct,cf:@cf/openai/gpt-oss-120b,cf:@cf/qwen/qwen3-30b-a3b-fp8",
+    "--n",
+    "30",
+    "--sample-concurrency",
+    "6",
+    "--out",
+    "evals",
+    "--report",
+    "docs/evals/weekly/2026-06-09.md"
+  ],
+  "token": {
+    "path": "/home/runner/work/ahd/ahd/tokens/swiss-editorial.yml",
+    "hash": "sha256:380a3d833d9463dbc681df7465993ab6413d8e77188f55f97359f60dc4b746b1"
+  },
+  "brief": {
+    "path": "briefs/landing.yml",
+    "hash": "sha256:8b7d4275964399a91e6ddec525151ba672ed9c4721279a37ec16ab3450493a4c"
+  },
+  "sampling": {
+    "n": 30,
+    "temperature": null,
+    "seed": null
+  },
+  "models": [
+    {
+      "id": "@cf/google/gemma-4-26b-a4b-it",
+      "provider": "cloudflare-workers-ai",
+      "provider_request_ids": [
+        "a08dd9915cd83457-ORD",
+        "a08dd9914d846689-ORD",
+        "a08dd9915a945e0c-ORD",
+        "a08dd9916b21618a-ORD",
+        "a08dd9915bccdc1f-ORD",
+        "a08dd9916c344227-ORD",
+        "a08dda8e7f9f3457-ORD",
+        "a08ddac5c9ba5e0c-ORD",
+        "a08dda931c8f6689-ORD",
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+        "a08ddd096a5c3457-ORD",
+        "a08ddcf4eb0adc1f-ORD",
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+        "a08de0afb84b2145-ORD",
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+        "a08de0fbaaf16689-ORD",
+        "a08de1dade282145-ORD",
+        "a08de1b70a88d300-ORD",
+        "a08de1070ac3dc1f-ORD",
+        "a08de28c1de9bc23-ORD",
+        "a08de2dbbe3b4227-ORD",
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+      ]
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+        "a08df6da2ec06689-ORD",
+        "a08df6d7ac306e89-ORD"
+      ]
+    },
+    {
+      "id": "@cf/qwen/qwen3-30b-a3b-fp8",
+      "provider": "cloudflare-workers-ai",
+      "provider_request_ids": [
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+        "a08df889fa466172-ORD",
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+        "a08df8758f2e6e89-ORD",
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+}