diff --git a/scripts/ci/update_est_time.py b/scripts/ci/update_est_time.py
index de9b9bd40..cce4b6353 100755
--- a/scripts/ci/update_est_time.py
+++ b/scripts/ci/update_est_time.py
@@ -167,7 +167,8 @@ def main():
     print(f"Fetching {args.model_url}", file=sys.stderr)
     model = fetch_model(args.model_url)
     print(
-        f"  model data_as_of={model.get('data_as_of')} "
+        f"  model fit_window_start={model.get('fit_window_start')} "
+        f"fit_window_days={model.get('fit_window_days')} "
         f"n_runs={model.get('n_runs')} "
         f"n_suites={len(model.get('est', {}))}",
         file=sys.stderr,
diff --git a/scripts/ci/utils/compute_partitions.py b/scripts/ci/utils/compute_partitions.py
index d1f52ce49..56d035ebe 100644
--- a/scripts/ci/utils/compute_partitions.py
+++ b/scripts/ci/utils/compute_partitions.py
@@ -12,6 +12,7 @@ import json
 import math
 import os
 from collections import defaultdict
+from datetime import datetime, timedelta
 
 import yaml  # PyYAML; preinstalled on ubuntu-latest GHA runners.
 
@@ -179,6 +180,21 @@ def compute_partitions(
     return result
 
 
+def format_fit_window(model: dict) -> str:
+    """Render the model's fit window as `[start, end)` for the step summary.
+
+    Surfacing the whole span keeps the lower-bound date from reading as a
+    staleness marker (it trails today by fit_window_days)."""
+    start = model.get("fit_window_start")
+    days = model.get("fit_window_days")
+    if not start or not isinstance(days, int):
+        return f"fit_window_start={start}"
+    end = (datetime.strptime(start[:10], "%Y-%m-%d") + timedelta(days=days)).strftime(
+        "%Y-%m-%d"
+    )
+    return f"fit over [{start[:10]}, {end}) ({days}d window)"
+
+
 def main():
     parser = argparse.ArgumentParser(description=__doc__)
     parser.add_argument("--repo-root", default=REPO_ROOT)
@@ -234,7 +250,7 @@ def main():
                 src_note = "no live model -- static est_time + (coeff=1, bias=0)"
             else:
                 src_note = (
-                    f"live model `data_as_of={partition_model.get('data_as_of')}`, "
+                    f"live model: {format_fit_window(partition_model)}, "
                     f"`n_runs={partition_model.get('n_runs')}`"
                 )
             f.write(