fix(examples): replace hand-written examples with real benchmark output

The examples/ before/after blocks were authored by hand, not produced by a
model. Issue #127 correctly noted that nobody hand-rolls quicksort for "sort
this array" - every model just calls .sort(). Regenerate all examples verbatim
from a real benchmark run (Claude Haiku 4.5, no-skill arm vs ponytail arm,
benchmarks/output.json) so the before/after is reproducible, not authored:

  email 75->3, debounce 116->10, csv 20->3, countdown 267->9, rate-limit 128->10 LOC

- Delete sorting.md (pure strawman) plus the other hand-written caricatures
  (api-endpoint, caching, date-picker)
- Add benchmarks/generate-examples.mjs to regenerate examples from any run
- examples/README.md indexes the set and documents how to reproduce

Closes #127

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

examples/csv-sum.md

@@ -0,0 +1,71 @@
+# CSV Sum
+
+**Task:** "Write Python code that reads sales.csv and sums the 'amount' column."
+
+Verbatim model output from a benchmark run — Claude Haiku 4.5, no-skill arm vs ponytail arm, temperature 1, source `benchmarks/output.json`. Reproduce: `npx promptfoo@latest eval -c benchmarks/promptfooconfig.yaml`.
+
+## Without Ponytail — 20 lines of code
+
+# Python code to read sales.csv and sum the 'amount' column
+
+```python
+import pandas as pd
+
+# Read the CSV file
+df = pd.read_csv('sales.csv')
+
+# Sum the 'amount' column
+total_amount = df['amount'].sum()
+
+# Print the result
+print(f"Total amount: ${total_amount:,.2f}")
+```
+
+## Alternative methods:
+
+**Using CSV module (without pandas):**
+```python
+import csv
+
+total_amount = 0
+
+with open('sales.csv', 'r') as file:
+    reader = csv.DictReader(file)
+    for row in reader:
+        total_amount += float(row['amount'])
+
+print(f"Total amount: ${total_amount:,.2f}")
+```
+
+**Using pandas with error handling:**
+```python
+import pandas as pd
+
+try:
+    df = pd.read_csv('sales.csv')
+    total_amount = df['amount'].sum()
+    print(f"Total amount: ${total_amount:,.2f}")
+except FileNotFoundError:
+    print("Error: sales.csv not found")
+except KeyError:
+    print("Error: 'amount' column not found")
+```
+
+**The pandas method is recommended** because it's:
+- More concise and readable
+- Handles data types automatically
+- Provides built-in error handling
+- Efficient for large files
+
+## With Ponytail — 3 lines of code
+
+```python
+import csv
+
+total = sum(float(row['amount']) for row in csv.DictReader(open('sales.csv')))
+print(total)
+```
+
+Skipped: pandas, error handling, file closing — add when the CSV is large, malformed, or you need more analysis.
+
+**20 → 3 lines of code** — same model, same prompt.