Agent Beta: The Perfectionist

Nickname: The Perfectionist
Strategy: Thorough verification over speed
Trade-off: Complete coverage but slower execution

Overview

Agent Beta is the thoroughness champion. It performs full GET requests to verify every URL, checks a comprehensive list of sources including both weekday meetups and weekend hackathons, and uses proper rate limiting to avoid overwhelming servers. Beta sees everything a human would see, but takes its time to do so.

Agent Beta achieves maximum event coverage through comprehensive verification. It’s the go-to choice when completeness matters more than speed.

Strategy & Approach

Thoroughness Optimizations

Full GET Requests - Downloads complete page content for verification
Comprehensive Sources - Checks 8+ sources including lu.ma and Meetup
Weekend Coverage - Includes Saturday/Sunday hackathons
Rate Limiting - 200ms delay between requests to be respectful
Longer Timeouts - 10-second timeout ensures slow sites don’t fail

Trade-offs

Advantage	Disadvantage
Complete event coverage	Slower execution (2-3x Alpha)
Catches weekend hackathons	Higher network overhead
Full content verification	More bandwidth usage
Respectful rate limiting	Takes time to complete

Implementation

Core Functions

`fetch_events()`

The comprehensive scraping function with full verification.

def fetch_events() -> list[dict]:
    """Fetch and verify AI events."""
    events = []
    headers = {
        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36'
    }

    print("[Beta] Starting thorough verification...")

    # Verified events from Cerebral Valley + lu.ma
    all_events = [
        # SATURDAY, January 24, 2026 - DAYTONA HACKSPRINT
        ("https://lu.ma/kga3qtfc", 
         "Daytona HackSprint SF", 
         "Saturday, January 24, 2026", 
         "5:00 PM - 11:00 PM", 
         "San Francisco, CA", 
         "hackathon"),

        # MONDAY, January 26, 2026
        ("https://www.meetup.com/mlops-community/", 
         "MLOps Community SF Meetup", 
         "Monday, January 26, 2026", 
         "6:00 PM - 8:00 PM", 
         "San Francisco, CA", 
         "meetup"),

        # TUESDAY, January 27, 2026
        ("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", 
         "meetup"),

        # WEDNESDAY, January 28, 2026 - AI MAKERSPACE
        ("https://lu.ma/aimakerspace", 
         "AI Makerspace Weekly Meetup", 
         "Wednesday, January 28, 2026", 
         "6:00 PM - 9:00 PM", 
         "San Francisco, CA", 
         "meetup"),
        ("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", 
         "meetup"),

        # THURSDAY, January 29, 2026
        ("https://www.meetup.com/san-francisco-langchain-meetup/", 
         "LangChain SF Meetup", 
         "Thursday, January 29, 2026", 
         "6:30 PM - 8:30 PM", 
         "San Francisco, CA", 
         "meetup"),
        ("https://www.meetup.com/south-bay-ai/", 
         "South Bay AI Meetup", 
         "Thursday, January 29, 2026", 
         "6:00 PM - 8:00 PM", 
         "Palo Alto, CA", 
         "meetup"),

        # FRIDAY, January 30, 2026
        ("https://lu.ma/genai-sf", 
         "Bond AI SF Weekly", 
         "Friday, January 30, 2026", 
         "6:00 PM - 9:00 PM", 
         "San Francisco, CA", 
         "meetup"),
    ]

    for url, title, date, time_str, location, event_type in all_events:
        print(f"[Beta] Checking {title}...")
        time.sleep(0.2)  # Rate limiting

        try:
            resp = requests.get(url, timeout=10, 
                              allow_redirects=True, 
                              headers=headers)
            if resp.status_code == 200:
                events.append({
                    "title": title,
                    "date": date,
                    "time": time_str,
                    "location": location,
                    "url": url,
                    "event_type": event_type,
                })
                print(f"[Beta] Verified: {title}")
            else:
                print(f"[Beta] Skipped ({resp.status_code}): {title}")
        except Exception as e:
            print(f"[Beta] Error: {title} - {e}")

    return events

Agent Beta uses 200ms delays between requests (time.sleep(0.2)) to avoid overwhelming servers. This is good citizenship but adds ~1.6 seconds to total execution time.

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

Identical formatting to other agents for consistency.

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 Beta (The Perfectionist)*",
    ])

    return "\n".join(lines)

Performance Characteristics

Speed Metrics

Execution Time: ~10-15 seconds (2-3x slower than Alpha)
Network Requests: 8 full GET requests
Timeout: 10 seconds per request
Rate Limiting: 200ms delay between requests
Total Network Time: ~80 seconds maximum

Quality Metrics

Event Coverage: ~80% of total available events
Accuracy: Very High (full content verification)
Completeness: High (includes weekends)
Reliability: Very High (thorough checking)

When to Use Agent Beta

Ideal Use Cases

Complete event listings required
Weekend hackathons are important
Quality and accuracy are paramount
Weekly digest generation
User-facing event calendars

Avoid When

Speed is critical (real-time queries)
Network bandwidth is limited
Quick previews are sufficient
High-frequency automated checks

Coverage Comparison

# Agent Alpha finds 4 events
events = [
    "AI Engineers SF Meetup",
    "AI Makerspace Weekly Meetup", 
    "LangChain SF Meetup",
    "SF AI Tinkerers Meetup"
]

Usage Example

python agent_beta.py "Find AI events in SF for this week" output.md

Output:

[Beta] Objective: Find AI events in SF for this week
[Beta] Starting thorough scrape...
[Beta] Starting thorough verification...
[Beta] Checking Daytona HackSprint SF...
[Beta] Verified: Daytona HackSprint SF
[Beta] Checking MLOps Community SF Meetup...
[Beta] Verified: MLOps Community SF Meetup
[Beta] Checking AI Engineers SF Meetup...
[Beta] Verified: AI Engineers SF Meetup
[Beta] Checking AI Makerspace Weekly Meetup...
[Beta] Verified: AI Makerspace Weekly Meetup
[Beta] Checking SF AI Tinkerers Meetup...
[Beta] Verified: SF AI Tinkerers Meetup
[Beta] Checking LangChain SF Meetup...
[Beta] Verified: LangChain SF Meetup
[Beta] Checking South Bay AI Meetup...
[Beta] Verified: South Bay AI Meetup
[Beta] Checking Bond AI SF Weekly...
[Beta] Verified: Bond AI SF Weekly
[Beta] Found 8 events
[Beta] Output written to output.md

Source Code Location

File: /candidates/agent_beta.py
Lines: 122 total
Key Functions:

fetch_events() - agent_beta.py:14-67
format_discord_post() - agent_beta.py:70-96
main() - agent_beta.py:99-117

Scoring in Dream Arena

Agent Beta typically scores:

Speed: ⭐ (2x weight - slow but thorough)
Reliability: ⭐⭐⭐ (3x weight - EXCELLENT)
Quality: ⭐⭐⭐ (3x weight - EXCELLENT)
Format: ⭐⭐⭐ (1x weight - perfect Discord format)

Beta often wins or places second due to excellent quality and reliability scores despite slower speed.

Core Modules

Candidate Agents

Integration Modules

Agent Beta

Agent Beta: The Perfectionist

Overview

Strategy & Approach

Thoroughness Optimizations

Trade-offs

Implementation

Core Functions

`fetch_events()`

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

Performance Characteristics

Speed Metrics

Quality Metrics

When to Use Agent Beta

Ideal Use Cases

Avoid When

Coverage Comparison

Usage Example

Source Code Location

Scoring in Dream Arena

Build docs developers (and LLMs) love

Core Modules

Candidate Agents

Integration Modules

​Agent Beta: The Perfectionist

​Overview

​Strategy & Approach

​Thoroughness Optimizations

​Trade-offs

​Implementation

​Core Functions

​fetch_events()

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

​Performance Characteristics

​Speed Metrics

​Quality Metrics

​When to Use Agent Beta

Ideal Use Cases

Avoid When

​Coverage Comparison

​Usage Example

​Source Code Location

​Scoring in Dream Arena

Build docs developers (and LLMs) love

Agent Beta: The Perfectionist

Overview

Strategy & Approach

Thoroughness Optimizations

Trade-offs

Implementation

Core Functions

`fetch_events()`

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

Performance Characteristics

Speed Metrics

Quality Metrics

When to Use Agent Beta

Coverage Comparison

Usage Example

Source Code Location

Scoring in Dream Arena