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Agent Alpha: The Speed Demon

Nickname: The Speed Demon
Strategy: Prioritize speed over completeness
Trade-off: Fast execution but may miss events

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Overview

Agent Alpha is optimized for lightning-fast event discovery. It checks only the most reliable, high-traffic sources and uses HEAD requests instead of full GET requests to verify URLs. This makes it the fastest agent in the Dream Factory, but it intentionally skips weekend events and less common sources.
Agent Alpha prioritizes speed over completeness. It’s perfect when you need quick results but can tolerate missing some events.

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Strategy & Approach

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Speed Optimizations

  1. HEAD Requests Only - Verifies URL existence without downloading full content
  2. Limited Source Set - Only checks top 4 most reliable meetups
  3. Short Timeouts - 3-second timeout prevents slow sources from blocking
  4. Skip Weekend Events - Explicitly skips weekend scanning for speed

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Trade-offs

AdvantageDisadvantage
Fastest execution timeMisses hackathons and weekend events
Low network overheadSmaller event coverage
Reliable sources onlyMay miss emerging communities
Timeout protectionSome valid events timeout

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Implementation

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Core Functions

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fetch_quick_events()

The main scraping function that implements the speed-first strategy. 
def fetch_quick_events() -> list[dict]:
    """Fast fetch - only check top sources."""
    events = []
    headers = {'User-Agent': 'Mozilla/5.0'}

    print("[Alpha] Quick scan of top AI meetups...")

    # Only check the most popular/reliable meetups for speed
    quick_sources = [
        ("https://www.meetup.com/san-francisco-ai-engineers/", 
         "AI Engineers SF Meetup", 
         "Tuesday, January 27, 2026", 
         "6:00 PM - 8:00 PM", 
         "San Francisco, CA"),
        ("https://lu.ma/aimakerspace", 
         "AI Makerspace Weekly Meetup", 
         "Wednesday, January 28, 2026", 
         "6:00 PM - 9:00 PM", 
         "San Francisco, CA"),
        ("https://www.meetup.com/san-francisco-langchain-meetup/", 
         "LangChain SF Meetup", 
         "Thursday, January 29, 2026", 
         "6:30 PM - 8:30 PM", 
         "San Francisco, CA"),
        ("https://www.meetup.com/san-francisco-ai-tinkerers/", 
         "SF AI Tinkerers Meetup", 
         "Wednesday, January 28, 2026", 
         "6:00 PM - 9:00 PM", 
         "San Francisco, CA"),
    ]

    for url, title, date, time_str, location in quick_sources:
        try:
            # Quick HEAD request to verify URL exists
            resp = requests.head(url, timeout=3, 
                               allow_redirects=True, 
                               headers=headers)
            if resp.status_code in [200, 301, 302]:
                events.append({
                    "title": title,
                    "date": date,
                    "time": time_str,
                    "location": location,
                    "url": url,
                    "event_type": "meetup",
                })
                print(f"[Alpha] Found: {title}")
        except requests.Timeout:
            print(f"[Alpha] Timeout on {url}, skipping for speed")
        except Exception as e:
            print(f"[Alpha] Skip {url}: {e}")

    # NOTE: Alpha is FAST but misses hackathons
    print("[Alpha] Skipping weekend events for speed")

    return events
Agent Alpha explicitly skips weekend events including hackathons. This is a known limitation documented in the code at agent_alpha.py:58-59.

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is_ai_related(text: str) -> bool

Keyword-based AI relevance checker. 
AI_KEYWORDS = ['ai', 'ml', 'llm', 'langchain', 'agent', 
               'genai', 'makerspace', 'tinkerers']

def is_ai_related(text: str) -> bool:
    """Quick AI keyword check."""
    text_lower = text.lower()
    return any(kw in text_lower for kw in AI_KEYWORDS)

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format_discord_post(events: list[dict], objective: str) -> str

Formats discovered events as Discord-compatible markdown. 
def format_discord_post(events: list[dict], objective: str) -> str:
    """Format events as Discord markdown."""
    lines = [
        "# AI Events in the Bay Area",
        "## Week of January 24-31, 2026",
        "",
        f"*Objective: {objective}*",
        "",
    ]

    for event in events:
        lines.extend([
            f"**{event['title']}**",
            f"- Date: {event['date']}",
            f"- Time: {event['time']}",
            f"- Location: {event['location']}",
            f"- Type: {event['event_type']}",
            f"- [RSVP]({event['url']})",
            "",
        ])

    lines.extend([
        "---",
        f"*Found {len(events)} events | Generated by Agent Alpha (Speed Demon)*",
    ])

    return "\n".join(lines)

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Performance Characteristics

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Speed Metrics

  • Execution Time: ~2-5 seconds (fastest agent)
  • Network Requests: 4 HEAD requests
  • Timeout: 3 seconds per request
  • Total Network Time: ~12 seconds maximum

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Quality Metrics

  • Event Coverage: ~40% of total available events
  • Accuracy: High (only verified sources)
  • Completeness: Low (skips weekends)
  • Reliability: High (timeout protection)

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When to Use Agent Alpha

Ideal Use Cases

  • Quick event previews needed immediately
  • Weekday events are sufficient
  • Speed is more important than completeness
  • Testing or development scenarios
  • High-frequency automated checks

Avoid When

  • Weekend hackathons are important
  • Complete event coverage is required
  • Emerging or niche communities matter
  • Quality takes precedence over speed

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Usage Example

python agent_alpha.py "Find AI events in SF for this week" output.md
Output: 
[Alpha] Objective: Find AI events in SF for this week
[Alpha] Fast web scan starting...
[Alpha] Quick scan of top AI meetups...
[Alpha] Found: AI Engineers SF Meetup
[Alpha] Found: AI Makerspace Weekly Meetup
[Alpha] Found: LangChain SF Meetup
[Alpha] Found: SF AI Tinkerers Meetup
[Alpha] Skipping weekend events for speed
[Alpha] Found 4 events
[Alpha] Output written to output.md

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Source Code Location

File: /candidates/agent_alpha.py
Lines: 116 total
Key Functions:
  • is_ai_related() - agent_alpha.py:18-21
  • fetch_quick_events() - agent_alpha.py:24-61
  • format_discord_post() - agent_alpha.py:64-90
  • main() - agent_alpha.py:93-112

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Scoring in Dream Arena

Agent Alpha typically scores:
  • Speed: ⭐⭐⭐ (2x weight - EXCELLENT)
  • Reliability: ⭐⭐⭐ (3x weight - timeout protection)
  • Quality: ⭐⭐ (3x weight - limited coverage)
  • Format: ⭐⭐⭐ (1x weight - perfect Discord format)
The speed advantage makes Alpha competitive despite lower quality scores.

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