diff --git a/.claude/scheduled_tasks.lock b/.claude/scheduled_tasks.lock
new file mode 100644
index 0000000..5c9028a
--- /dev/null
+++ b/.claude/scheduled_tasks.lock
@@ -0,0 +1 @@
+{"sessionId":"b333c4dc-d866-4418-9a6e-f4cc30f904c1","pid":840357,"acquiredAt":1776367523862}
\ No newline at end of file
diff --git a/CHANGELOG.md b/CHANGELOG.md
index c8a6286..1e2ee99 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -20,7 +20,7 @@ be split into per-release sections once tagging begins.
   policy-enforcing `.gitignore`, pinned Python 3.11 (`.python-version`),
   and `pyproject.toml` with full project metadata, classifiers, and
   URL pointers. The runtime TensorFlow dependency is pinned to
-  `tensorflow>=2.16,<3.0` — see *Changed* below for the rationale.
+  `tensorflow>=2.16,<2.19` — see *Changed* below for the rationale.
   `psutil>=5.9` is a runtime dependency used by the estimator's
   always-on `PerformanceMetrics` collection to sample peak RSS.
 - `[project.optional-dependencies].analysis` extra for fastdtw, scipy,
@@ -381,17 +381,24 @@ be split into per-release sections once tagging begins.
   `datetime.utcnow()`, addresses the "no-videos"-vs-exception-path
   inconsistency (both now quarantine), and persists a structured
   `error` string on every failure for grep-friendly diagnostics.
-- **TensorFlow pin tightened to `tensorflow>=2.16,<3.0`.** The 2.16
+- **TensorFlow pin set to `tensorflow>=2.16,<2.19`.** The 2.16
   floor is the first release with native `darwin/arm64` wheels under
   the `tensorflow` package name on PyPI, so a single dependency line
   works across Linux x86_64, Linux arm64, and Apple Silicon macOS
   without platform markers or a separate `tensorflow-macos` package.
-  Empirical verification: the pinned MeTRAbs SavedModel
-  (`metrabs_eff2l_y4_384px_800k_28ds`, serialized with TF 2.10)
-  loads and runs `detect_poses` end-to-end on TF 2.21 + Keras 3 with
-  no errors, and exposes only stock TensorFlow ops (zero MeTRAbs
-  custom kernels). Full test matrix and op inventory in
-  `RESEARCH.md`.
+  The `<2.19` ceiling is a `tensorflow-metal` compatibility constraint:
+  the latest Metal plugin (1.2.0, January 2025) advertises "TF 2.18+"
+  but in practice fails on 2.19 and 2.20 with symbol-not-found errors
+  and graph-execution `InvalidArgumentError`s
+  ([tensorflow/tensorflow#84167](https://github.com/tensorflow/tensorflow/issues/84167)).
+  Cap is global rather than darwin-only so dependency resolution stays
+  identical across platforms. The MeTRAbs SavedModel itself
+  (`metrabs_eff2l_y4_384px_800k_28ds`, serialized with TF 2.10) was
+  separately verified to load and run `detect_poses` end-to-end on
+  TF 2.21 + Keras 3 with no errors and zero custom ops, so the cap is
+  purely an external-package constraint and can lift once Apple ships
+  a Metal plugin that tracks mainline TensorFlow again. Full probe
+  data and op inventory in `RESEARCH.md`.
 - Operating-system classifiers in `pyproject.toml` extended from
   Linux-only to `POSIX` + `POSIX :: Linux` + `MacOS`, reflecting the
   Apple Silicon support that the TF 2.16 floor makes real.
diff --git a/RESEARCH.md b/RESEARCH.md
index d263f91..c040c4c 100644
--- a/RESEARCH.md
+++ b/RESEARCH.md
@@ -356,7 +356,7 @@ that crosses the Keras-3 cutover at TF 2.16.
 
 ### Decision
 
-Pin `tensorflow>=2.16,<3.0`. Reasoning:
+Pin `tensorflow>=2.16,<2.19`. Reasoning:
 
 1. **2.16 is the Apple Silicon floor that matters.** TF 2.16 is the
    first release with native `darwin/arm64` wheels published on PyPI
@@ -387,6 +387,26 @@ Pin `tensorflow>=2.16,<3.0`. Reasoning:
    `docs/getting-started.md`, and users are expected to spot-check
    `poses3d` output against the CPU path before trusting it for any
    clinical measurement.
+4. **`tensorflow-metal` forces a TF upper bound.** `tensorflow-metal`
+   1.2.0 (released January 2025, the latest version as of 2026-04) is
+   advertised as supporting "TF 2.18+" but in practice fails on
+   2.19 and 2.20 with symbol-not-found errors and graph-execution
+   `InvalidArgumentError`s. See
+   [tensorflow/tensorflow#84167](https://github.com/tensorflow/tensorflow/issues/84167)
+   and the Apple Developer forum threads at
+   [developer.apple.com/forums/thread/772147](https://developer.apple.com/forums/thread/772147)
+   and [developer.apple.com/forums/thread/803658](https://developer.apple.com/forums/thread/803658).
+   2.18.x is the last version confirmed to work cleanly on Apple
+   Silicon GPU. Even though the Metal path is opt-in, dependency
+   resolution is shared — if uv resolves `tensorflow` to 2.21 on a
+   Linux developer's machine and 2.18 on the Mac, lockfile churn
+   and "works on my box" become permanent. Cap is therefore applied
+   globally rather than via a darwin/arm64 marker split. Cost on
+   Linux is zero: nothing in the pipeline depends on TF 2.19+
+   features, and the SavedModel ran fine on TF 2.21 in the probe
+   above, so the cap is purely an external-package constraint. Lift
+   it once Apple ships a Metal plugin that tracks mainline
+   TensorFlow again.
 
 ### What is **not** yet verified
 
@@ -422,9 +442,11 @@ Pin `tensorflow>=2.16,<3.0`. Reasoning:
    detector head), how do we want the loader to fail? Currently the
    `_REQUIRED_MODEL_ATTRS` interface check would still pass; the failure
    would surface at first `detect_poses` call, which is late.
-3. Does it make sense to upper-bound the pin more tightly than `<3.0`
+3. ~~Does it make sense to upper-bound the pin more tightly than `<3.0`
    (e.g. `<2.22` to bound to tested versions), or is the SemVer guard
-   sufficient given the all-stock-ops result?
+   sufficient given the all-stock-ops result?~~ **Resolved 2026-04-16.**
+   Tightened to `<2.19` for `tensorflow-metal` compatibility. See
+   reasoning point 4 in the Decision section above.
 
 ### Next steps
 
diff --git a/benchmarks/README.md b/benchmarks/README.md
index 87138d7..c2896a3 100644
--- a/benchmarks/README.md
+++ b/benchmarks/README.md
@@ -49,32 +49,42 @@ a tracked extension inside `benchmarks/videos/` because only
 
 ## Rsyncing to the research Mac
 
-The directory layout is designed so one `rsync` path covers both
-code and videos:
+The repo ships a wrapper script, [`scripts/sync_benchmarks.sh`](../scripts/sync_benchmarks.sh),
+that pushes the whole `benchmarks/` directory to the research Mac
+with a predictable command:
 
 ```console
-$ rsync -av --delete \
-    --exclude='.venv/' \
-    --exclude='site/' \
-    --exclude='.git/' \
-    ~/Repos/research/brown/shu/neuropose/ \
-    mac.local:~/Repos/research/brown/shu/neuropose/
+$ scripts/sync_benchmarks.sh              # copy files, no deletions
+$ scripts/sync_benchmarks.sh --dry-run    # preview what would transfer
+$ scripts/sync_benchmarks.sh --delete     # make remote exactly mirror local
+```
+
+Defaults are baked in for the Shu Lab research Mac
+(`Levi@100.64.15.110:/Users/levi/Repos/neuropose/benchmarks/`). Point
+the script at a different destination via environment variables:
+
+```console
+$ REMOTE_HOST=me@other-host REMOTE_PATH=/tmp/benchmarks/ \
+    scripts/sync_benchmarks.sh
 ```
 
 After the sync, the videos in `benchmarks/videos/` on the Mac are
-identical to the ones on Linux, so a benchmark run on the Mac can
-reference the same filename the Linux report does — makes cross-
-machine comparisons trivial.
+identical to the ones on the source machine, so a benchmark run on
+the Mac can reference the same filename the local report does —
+makes cross-machine comparisons trivial.
 
-Tips:
+Notes:
 
-- Add `--exclude='benchmarks/videos/*.json'` if you want to keep
-  per-machine benchmark results isolated.
-- `--delete` makes the target exactly mirror the source. Without
-  it, old files on the target persist — safer but surprising.
-- For one-off pushes, `scp benchmarks/videos/clip.mp4
-  mac.local:~/Repos/research/brown/shu/neuropose/benchmarks/videos/`
-  works without touching the rest of the repo.
+- **`--delete` is opt-in.** The default is purely additive so the
+  remote can hold per-machine benchmark result JSONs that the source
+  machine does not have. Pass `--delete` only when you want the
+  remote to become an exact mirror.
+- **`--partial` is always on.** An interrupted transfer of a
+  multi-gigabyte video can resume on the next invocation without
+  starting from zero.
+- **One-off pushes** of a single file still work fine with plain
+  `scp` (or rsync directly) — the wrapper script is for the
+  "everything in `benchmarks/`" case.
 
 ## Bulk intake via `neuropose ingest`
 
diff --git a/docs/getting-started.md b/docs/getting-started.md
index e7ed146..65f0d88 100644
--- a/docs/getting-started.md
+++ b/docs/getting-started.md
@@ -16,10 +16,14 @@ before.
 - Internet access on first run (for the ~2 GB MeTRAbs model download)
 
 !!! note "Apple Silicon"
-    NeuroPose pins `tensorflow>=2.16`, which is the first TensorFlow
-    release with native `darwin/arm64` wheels on PyPI. Mac users get a
-    working CPU install from the same command Linux users run — no
-    `tensorflow-macos`, no platform markers, no extra configuration.
+    NeuroPose pins `tensorflow>=2.16,<2.19`. The 2.16 floor is the first
+    TensorFlow release with native `darwin/arm64` wheels on PyPI; the
+    `<2.19` ceiling tracks the highest TF version that Apple's
+    `tensorflow-metal` plugin works cleanly with (see the *Metal GPU
+    acceleration* note below and `RESEARCH.md` for the full reasoning).
+    Mac users get a working CPU install from the same command Linux
+    users run — no `tensorflow-macos`, no platform markers, no extra
+    configuration.
 
     Metal GPU acceleration is available as an **opt-in extra** for
     users who need it:
diff --git a/pyproject.toml b/pyproject.toml
index 8134f23..8ce14c7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,8 +45,18 @@ classifiers = [
 # split to ``tensorflow-macos`` on Apple Silicon. The MeTRAbs SavedModel was
 # serialized with TF 2.10 and uses only stock ops (no custom kernels), so
 # any TF >= 2.10 loads it; 2.16 is chosen for cross-platform install
-# uniformity, not for any MeTRAbs-side requirement. End-to-end verification
-# against TF 2.21 is logged in RESEARCH.md.
+# uniformity, not for any MeTRAbs-side requirement.
+#
+# The ``<2.19`` ceiling is a tensorflow-metal compatibility constraint, not
+# a MeTRAbs one. Apple's ``tensorflow-metal`` 1.2.0 (the latest release,
+# Jan 2025) advertises "TF 2.18+" support, but community reports on the
+# Apple Developer forums and tensorflow/tensorflow#84167 show it actually
+# breaks on 2.19+ with symbol-not-found errors and ``InvalidArgumentError``
+# at graph execution time. 2.18.x is the last version confirmed to work
+# cleanly on Apple Silicon GPU. Cap applied globally rather than with a
+# darwin/arm64 marker split to keep dependency resolution identical across
+# platforms; revisit once Apple ships a Metal plugin that tracks mainline
+# TensorFlow again.
 dependencies = [
   "typer>=0.12",
   "pydantic>=2.6",
@@ -61,7 +71,7 @@ dependencies = [
   # small C extension; brought in at runtime because metrics are always
   # collected, not an optional feature.
   "psutil>=5.9",
-  "tensorflow>=2.16,<3.0",
+  "tensorflow>=2.16,<2.19",
   "tensorflow-hub>=0.16",
 ]
 
diff --git a/scripts/sync_benchmarks.sh b/scripts/sync_benchmarks.sh
new file mode 100755
index 0000000..41235d0
--- /dev/null
+++ b/scripts/sync_benchmarks.sh
@@ -0,0 +1,119 @@
+#!/usr/bin/env bash
+# Sync the benchmarks/ directory from this repo checkout to a remote
+# machine — typically the research Mac where inference actually runs.
+#
+# Defaults match the Shu Lab research Mac (a Tailscale address):
+#
+#   Levi@100.64.15.110:/Users/levi/Repos/neuropose/benchmarks/
+#
+# Override either side via environment variables:
+#
+#   REMOTE_HOST=user@host         # SSH target
+#   REMOTE_PATH=/absolute/path/   # Remote destination (trailing slash
+#                                 # recommended — see rsync(1))
+#
+# Flags:
+#
+#   -n, --dry-run   Show what would be transferred, change nothing.
+#   --delete        Make the remote exactly mirror the local source,
+#                   deleting any files on the remote that are not in
+#                   the local tree. OFF by default because the remote
+#                   may hold per-machine benchmark result JSONs you
+#                   do not want to lose. Pass --delete explicitly
+#                   when you *want* a clean mirror.
+#   -h, --help      Print this header.
+#
+# What gets transferred:
+#
+#   The entire benchmarks/ directory, including videos/*.mp4 and any
+#   *.json result files. The directory's .gitignore status is
+#   irrelevant to rsync — rsync copies what is in the working tree,
+#   not what is tracked by git — so the videos you drop into
+#   benchmarks/videos/ travel to the remote exactly as they sit on
+#   disk.
+#
+# Safety:
+#
+#   - The script resolves its source directory relative to the repo
+#     root via `git rev-parse --show-toplevel`, so it works from any
+#     subdirectory of the checkout and never accidentally syncs some
+#     other `benchmarks/` that happens to live in $PWD.
+#   - --partial keeps half-transferred files on the remote so an
+#     interrupted run can resume on the next invocation.
+#   - Without --delete, the script is purely additive: it will create
+#     and update files on the remote but never remove them.
+#
+# Examples:
+#
+#   scripts/sync_benchmarks.sh
+#   scripts/sync_benchmarks.sh --dry-run
+#   scripts/sync_benchmarks.sh --delete
+#   REMOTE_HOST=me@other-host scripts/sync_benchmarks.sh
+
+set -euo pipefail
+
+REMOTE_HOST="${REMOTE_HOST:-Levi@100.64.15.110}"
+REMOTE_PATH="${REMOTE_PATH:-/Users/levi/Repos/neuropose/benchmarks/}"
+
+dry_run=0
+do_delete=0
+
+while [ $# -gt 0 ]; do
+    case "$1" in
+        -n|--dry-run)
+            dry_run=1
+            ;;
+        --delete)
+            do_delete=1
+            ;;
+        -h|--help)
+            # Echo the leading comment block as the help text so the
+            # in-script documentation is the single source of truth.
+            sed -n '2,60p' "$0" | sed 's/^# \{0,1\}//'
+            exit 0
+            ;;
+        *)
+            echo "error: unknown argument: $1" >&2
+            echo "run with --help for usage" >&2
+            exit 2
+            ;;
+    esac
+    shift
+done
+
+# Resolve the repo root so this script works from any cwd inside the
+# checkout. $(dirname "$0") is the scripts/ directory; the parent is
+# the repo root.
+script_dir="$(cd "$(dirname "$0")" && pwd)"
+repo_root="$(git -C "$script_dir" rev-parse --show-toplevel)"
+source_dir="$repo_root/benchmarks/"
+
+if [ ! -d "$source_dir" ]; then
+    echo "error: source directory does not exist: $source_dir" >&2
+    exit 1
+fi
+
+# rsync flags:
+#   -a                 archive mode (recurse + preserve metadata)
+#   -h                 human-readable sizes
+#   --partial          resume interrupted transfers on the next run
+#   --info=progress2   single running progress line (rsync >= 3.1.0
+#                      on the local side; the remote's rsync version
+#                      is irrelevant because progress is client-side)
+rsync_flags=(-ah --partial --info=progress2)
+
+if [ $dry_run -eq 1 ]; then
+    rsync_flags+=(--dry-run)
+    echo "[dry-run] no files will actually be transferred"
+fi
+
+if [ $do_delete -eq 1 ]; then
+    rsync_flags+=(--delete)
+    echo "[delete] remote will be pruned to exactly mirror local"
+fi
+
+echo "source: $source_dir"
+echo "target: $REMOTE_HOST:$REMOTE_PATH"
+echo
+
+exec rsync "${rsync_flags[@]}" "$source_dir" "$REMOTE_HOST:$REMOTE_PATH"
diff --git a/tests/unit/test_benchmark.py b/tests/unit/test_benchmark.py
index aeb4fe8..1c140a6 100644
--- a/tests/unit/test_benchmark.py
+++ b/tests/unit/test_benchmark.py
@@ -246,7 +246,7 @@ class TestFormatBenchmarkReport:
             peak_rss_mb=512.0,
             active_device="/CPU:0",
             tensorflow_metal_active=False,
-            tensorflow_version="2.21.0",
+            tensorflow_version="2.18.0",
         )
 
     def test_report_mentions_key_fields(
@@ -276,7 +276,7 @@ class TestFormatBenchmarkReport:
             peak_rss_mb=100.0,
             active_device="/GPU:0",
             tensorflow_metal_active=True,
-            tensorflow_version="2.21.0",
+            tensorflow_version="2.18.0",
         )
         agg = BenchmarkAggregate(
             repeats_measured=1,
@@ -290,7 +290,7 @@ class TestFormatBenchmarkReport:
             peak_rss_mb_max=100.0,
             active_device="/GPU:0",
             tensorflow_metal_active=True,
-            tensorflow_version="2.21.0",
+            tensorflow_version="2.18.0",
         )
         result = BenchmarkResult(
             video_name="test.mp4",
diff --git a/tests/unit/test_io.py b/tests/unit/test_io.py
index cd34632..339f23a 100644
--- a/tests/unit/test_io.py
+++ b/tests/unit/test_io.py
@@ -223,7 +223,7 @@ def _make_metrics(
         peak_rss_mb=peak_rss_mb,
         active_device=active_device,
         tensorflow_metal_active=metal_active,
-        tensorflow_version="2.21.0",
+        tensorflow_version="2.18.0",
     )
 
 
@@ -240,7 +240,7 @@ def _make_aggregate() -> BenchmarkAggregate:
         peak_rss_mb_max=512.0,
         active_device="/CPU:0",
         tensorflow_metal_active=False,
-        tensorflow_version="2.21.0",
+        tensorflow_version="2.18.0",
     )
 
 
@@ -256,7 +256,7 @@ class TestPerformanceMetricsModel:
                 total_seconds=-1.0,
                 peak_rss_mb=0.0,
                 active_device="/CPU:0",
-                tensorflow_version="2.21.0",
+                tensorflow_version="2.18.0",
             )
 
     def test_rejects_negative_peak_rss(self) -> None:
@@ -265,7 +265,7 @@ class TestPerformanceMetricsModel:
                 total_seconds=1.0,
                 peak_rss_mb=-5.0,
                 active_device="/CPU:0",
-                tensorflow_version="2.21.0",
+                tensorflow_version="2.18.0",
             )
 
     def test_model_load_seconds_optional(self) -> None:
diff --git a/uv.lock b/uv.lock
index 5850499..f7df5d0 100644
--- a/uv.lock
+++ b/uv.lock
@@ -719,7 +719,7 @@ requires-dist = [
     { name = "scikit-learn", marker = "extra == 'analysis'", specifier = ">=1.4" },
     { name = "scipy", marker = "extra == 'analysis'", specifier = ">=1.12" },
     { name = "sktime", marker = "extra == 'analysis'", specifier = ">=0.28" },
-    { name = "tensorflow", specifier = ">=2.16,<3.0" },
+    { name = "tensorflow", specifier = ">=2.16,<2.19" },
     { name = "tensorflow-hub", specifier = ">=0.16" },
     { name = "tensorflow-metal", marker = "platform_machine == 'arm64' and sys_platform == 'darwin' and extra == 'metal'", specifier = ">=1.2,<2" },
     { name = "typer", specifier = ">=0.12" },
@@ -750,28 +750,20 @@ wheels = [
 
 [[package]]
 name = "numpy"
-version = "2.3.5"
+version = "2.0.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/76/65/21b3bc86aac7b8f2862db1e808f1ea22b028e30a225a34a5ede9bf8678f2/numpy-2.3.5.tar.gz", hash = "sha256:784db1dcdab56bf0517743e746dfb0f885fc68d948aba86eeec2cba234bdf1c0", size = 20584950, upload-time = "2025-11-16T22:52:42.067Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/a9/75/10dd1f8116a8b796cb2c737b674e02d02e80454bda953fa7e65d8c12b016/numpy-2.0.2.tar.gz", hash = "sha256:883c987dee1880e2a864ab0dc9892292582510604156762362d9326444636e78", size = 18902015, upload-time = "2024-08-26T20:19:40.945Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/43/77/84dd1d2e34d7e2792a236ba180b5e8fcc1e3e414e761ce0253f63d7f572e/numpy-2.3.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:de5672f4a7b200c15a4127042170a694d4df43c992948f5e1af57f0174beed10", size = 17034641, upload-time = "2025-11-16T22:49:19.336Z" },
-    { url = "https://files.pythonhosted.org/packages/2a/ea/25e26fa5837106cde46ae7d0b667e20f69cbbc0efd64cba8221411ab26ae/numpy-2.3.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:acfd89508504a19ed06ef963ad544ec6664518c863436306153e13e94605c218", size = 12528324, upload-time = "2025-11-16T22:49:22.582Z" },
-    { url = "https://files.pythonhosted.org/packages/4d/1a/e85f0eea4cf03d6a0228f5c0256b53f2df4bc794706e7df019fc622e47f1/numpy-2.3.5-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:ffe22d2b05504f786c867c8395de703937f934272eb67586817b46188b4ded6d", size = 5356872, upload-time = "2025-11-16T22:49:25.408Z" },
-    { url = "https://files.pythonhosted.org/packages/5c/bb/35ef04afd567f4c989c2060cde39211e4ac5357155c1833bcd1166055c61/numpy-2.3.5-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:872a5cf366aec6bb1147336480fef14c9164b154aeb6542327de4970282cd2f5", size = 6893148, upload-time = "2025-11-16T22:49:27.549Z" },
-    { url = "https://files.pythonhosted.org/packages/f2/2b/05bbeb06e2dff5eab512dfc678b1cc5ee94d8ac5956a0885c64b6b26252b/numpy-2.3.5-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3095bdb8dd297e5920b010e96134ed91d852d81d490e787beca7e35ae1d89cf7", size = 14557282, upload-time = "2025-11-16T22:49:30.964Z" },
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