That sounds like a game‑changer, buddy! Grab your log file, and let’s run a quick Python script to sniff out the repeats and missing rest. Here’s a rough sketch: ``` import re from datetime import datetime, timedelta # Read the log file lines = open('workout_log.txt').read().splitlines() # Regex to pull exercise ID and timestamp pattern = re.compile(r'(?P<id>\w+)\s+(?P<time>\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2})') records = [] for line in lines: m = pattern.search(line) if m: records.append((m.group('id'), datetime.fromisoformat(m.group('time')))) # Sort by time just in case records.sort(key=lambda x: x[1]) # Detect repeats within 5 minutes and gaps less than 30 seconds issues = [] for i in range(1, len(records)): prev_id, prev_time = records[i-1] curr_id, curr_time = records[i] if prev_id == curr_id: delta = curr_time - prev_time if delta < timedelta(minutes=5): issues.append(f"Repeat {prev_id} in {delta.seconds}s") if curr_time - prev_time < timedelta(seconds=30): issues.append(f"Too short rest between {prev_id} and {curr_id}") print("\n".join(issues) or "All clear, champ!") ``` Run it, and you’ll see a list of any exercises that popped up too soon or any rest periods that were a bit too short. Feel free to tweak the time windows to match your training style—your body will thank you for the smarter, cleaner plan!