diff --git a/modal/README.md b/modal/README.md
index e5732e6..f2622d9 100644
--- a/modal/README.md
+++ b/modal/README.md
@@ -64,9 +64,9 @@ that costs ~5 min GPU per run; uploading the prebuilt ones is cheaper.)
 ## Verify one run, then fan out
 
 ```bash
-modal run modal/launch.py --only 1                  # canary: seed-42 vanilla, confirm clean v2 FINAL EVAL
+modal run modal/launch.py::fanout --only 1          # canary: seed-42 vanilla, confirm clean v2 FINAL EVAL
 # compare its per_mode_deploy.json to the local-box artifact for the same args
-modal run modal/launch.py                           # all 15 (5 arms x seeds 42/41/43)
+modal run modal/launch.py::fanout                   # all 15 (5 arms x seeds 42/41/43)
 ```
 
 ## Getting the outputs back
diff --git a/modal/launch.py b/modal/launch.py
index d661d5e..91e7b93 100644
--- a/modal/launch.py
+++ b/modal/launch.py
@@ -7,8 +7,8 @@ mounted src/ carries the current committed code).
 
   id 1 = the canary: seed-42 vanilla (needs only the shared teacher pool, no
   pairset/direction inputs). Fire it alone first, then fan out once it's green:
-  .venv/bin/modal run modal/launch.py --only 1   # canary -> clean v2 FINAL EVAL
-  .venv/bin/modal run modal/launch.py            # all 15
+  .venv/bin/modal run modal/launch.py::fanout --only 1   # canary -> clean v2 FINAL EVAL
+  .venv/bin/modal run modal/launch.py::fanout            # all 15
 
 Each container writes out/runs/<ts>_<tag>/per_mode_deploy.json to the Volume;
 this entrypoint pulls the full run dir + log back into out/runs/ locally.
@@ -60,7 +60,7 @@ for _s in SEEDS:
 
 
 @app.local_entrypoint()
-def main(only: str = ""):
+def fanout(only: str = ""):  # NOT `main`: app.py (imported above) already owns that entrypoint name
     ids = [int(x) for x in only.split(",")] if only else sorted(JOBS)
     print(f"[launch] spawning {len(ids)} jobs: {ids}")