🎨 Palette: Enhance CLI feedback and visual hierarchy

.Jules/palette.md

@@ -17,3 +17,6 @@
 ## 2026-04-01 - [CLI Onboarding & Information Density]
 **Learning:** For terminal-based workflow scaffolds, rendering the flow's docstring as a 'Prefect Workflow Guide' using `rich.Markdown` inside a `rich.Panel` provides immediate, high-quality context to the user. Additionally, adding footers to summary tables (e.g., total items processed) improves information density and allows users to verify outcomes at a glance.
 **Action:** Incorporate a Markdown-rendered welcome panel at the start of main entry points and include summary footers in result tables to enhance clarity and professional feel.
+## 2026-04-02 - [Execution Feedback & Visual Hierarchy]
+**Learning:** For CLI-based onboarding, providing immediate feedback on execution duration via `time.perf_counter()` and using titled `rich.Rule` components significantly improves the professional feel and clarity of the workflow completion state.
+**Action:** Incorporate high-resolution execution timing in final result panels and add descriptive titles to terminal rules to better guide users through multi-step onboarding processes.

01_getting_started.py

@@ -34,6 +34,7 @@ def main():
     This flow demonstrates how to map a task over a list of inputs.
     It fetches a list of customer IDs and processes each one individually.
     """
+    start_time = time.perf_counter()
     # Display the flow's purpose for a guided onboarding experience
     if main.__doc__:
         console.print(
@@ -60,7 +61,10 @@ def main():
         # Explicitly wait for results to avoid AttributeErrors on futures
         results = [f.result() for f in futures]
 
+    duration = time.perf_counter() - start_time
+
     # Display results in a clean table for better readability
+    console.print()
     table = Table(
         title="Processing Summary",
         show_header=True,
@@ -81,13 +85,13 @@ def main():
 
     console.print(
         Panel.fit(
-            f"[bold green]✨ Successfully processed {len(results)} customers![/bold green]",
+            f"[bold green]✨ Successfully processed {len(results)} customers in {duration:.2f}s![/bold green]",
             title="Result",
             border_style="green",
         )
     )
 
-    console.print(Rule(style="blue"))
+    console.print(Rule("Next Step", style="blue"))
     console.print(
         "[bold blue]➡️ Next Step:[/bold blue] Try running [cyan]python 02_logging.py[/cyan] to learn about logging in Prefect!"
     )

02_logging.py

@@ -43,6 +43,7 @@ def main():
     - Use the Prefect logger for structured logging in tasks.
     - Map tasks across a list of inputs.
     """
+    start_time = time.perf_counter()
     # Display the flow's purpose for a guided onboarding experience
     if main.__doc__:
         console.print(
@@ -69,7 +70,10 @@ def main():
         # Explicitly wait for results to avoid AttributeErrors on futures
         results = [f.result() for f in futures]
 
+    duration = time.perf_counter() - start_time
+
     # Display results in a clean table for better readability
+    console.print()
     table = Table(
         title="Processing Summary",
         show_header=True,
@@ -90,13 +94,13 @@ def main():
 
     console.print(
         Panel.fit(
-            f"[bold green]✨ Successfully processed {len(results)} customers with detailed logging![/bold green]",
+            f"[bold green]✨ Successfully processed {len(results)} customers with detailed logging in {duration:.2f}s![/bold green]",
             title="Result",
             border_style="green",
         )
     )
 
-    console.print(Rule(style="blue"))
+    console.print(Rule("Finishing Up", style="blue"))
     console.print(
         "[bold blue]🎉 You've completed the Quickstart! Check out the [cyan]README.md[/cyan] for more features.[/bold blue]"
     )