diff --git a/flows/embedding_flow.py b/flows/embedding_flow.py
index dd71725..2d1b1e3 100644
--- a/flows/embedding_flow.py
+++ b/flows/embedding_flow.py
@@ -33,7 +33,22 @@ def _embed_args_hash(ea: Optional[Dict[str, Any]]) -> str:
     s = json.dumps(ea or {}, sort_keys=True, default=str)
     return hashlib.sha1(s.encode()).hexdigest()[:8]
 
-from prefect import flow, task
+
+def _flow_run_name() -> str:
+    """Name each Prefect run after the stem of its output fig, so runs are
+    searchable / hoverable instead of wearing Prefect's auto-generated
+    adjective-animal names."""
+    p = runtime.flow_run.parameters or {}
+    gen = (p.get("generator_path") or "").rsplit(".", 1)[-1] or "?"
+    emb = (p.get("embedder") or "").rsplit(".", 1)[-1] or "?"
+    N = p.get("num_points", "?")
+    T = p.get("num_timesteps", "?")
+    J = p.get("jitter_scale", "?")
+    s = p.get("seed", "?")
+    tag = _embed_args_hash(p.get("embed_args"))
+    return f"{gen}_{emb}_N{N}_T{T}_J{J}_s{s}_{tag}"
+
+from prefect import flow, runtime, task
 from prefect.artifacts import create_markdown_artifact, create_table_artifact
 from prefect.cache_policies import INPUTS, NO_CACHE
 from prefect_ray import RayTaskRunner
@@ -254,7 +269,7 @@ _DEFAULT_EMBED_COLUMNS: List[str] = ["feature_0", "feature_2", "feature_1"]
 _DEFAULT_EMBED_ARGS: Dict[str, Any] = {"n_components": 2, "random_state": 30}
 
 
-@flow(task_runner=RayTaskRunner(init_kwargs={"num_cpus": 4}))
+@flow(task_runner=RayTaskRunner(init_kwargs={"num_cpus": 4}), flow_run_name=_flow_run_name)
 def embedding_flow(
     num_points: int = 5000,
     num_timesteps: int = 48,