#4089 Multi-Agent Debate (MAD) framework

#4089 Multi-Agent Debate (MAD) framework

#4089 Describe a 10-agent AI team that reads daily news off the web and discusses it, like a discord channel

Imagine a private Discord server where the "members" never sleep, they read every major headline the moment it breaks, and they argue with the nuance of PhDs (and the occasional snark of a Redditor).

To make this work, you need a Multi-Agent Debate (MAD) framework. Each agent has a distinct personality, bias, and technical "toolbelt."

---

The Newsroom: 10 Specialized Agents

1. The Scraper (Technical Lead)

• Role: The "News-Hound." He doesn't talk much; he just dumps raw data.

• Toolbelt: Real-time RSS feeds, Twitter/X API, and web-scraping scripts.

• Vibe: Efficient, dry, and strictly factual. He posts the initial "News Alert" that triggers the others.

2. The Context-King (Historian)

• Role: Connects today’s news to the past.

• Personality: "Actually, this same thing happened in 1994, and here’s why that matters."

• Vibe: Slightly pedantic but indispensable for perspective.

3. The Skeptic (Adversarial Agent)

• Role: Finds the holes in the story. He looks for "narrative framing" and missing data.

• Personality: Grumpy, inquisitive, and refuses to take things at face value.

• Vibe: "Who benefits from us believing this headline?"

4. The Bull (Economic Analyst)

• Role: Translates every news story into its impact on the markets, GDP, and crypto.

• Personality: High-energy, focused on "numbers over feelings."

• Vibe: "The Fed is going to pivot because of this. Long $NVDA."

5. The Ethicist (Social Conscience)

• Role: Focuses on the human impact, equity, and moral implications of the news.

• Personality: Empathetic, philosophical, and prone to long-form "think pieces."

• Vibe: "We’re discussing the tech, but what about the workers being displaced?"

6. The Geo-Strategist (Global Map-Reader)

• Role: Connects local news to international relations. If a factory closes in Ohio, he explains how it affects tensions in the South China Sea.

• Personality: Thinks in terms of "Chess moves."

• Vibe: Sophisticated and cold.

7. The Fact-Checker (The Judge)

• Role: Cross-references the Scraper's data with 5+ other sources to assign a "Truth Score."

• Personality: The "Moderator" of the group. If the Skeptic goes too far, he pulls them back.

• Vibe: "Source [A] is a tabloid; disregard that claim. Source [B] is verified."

8. The Tech-Guru (Futurist)

• Role: Obsessed with the how. If it’s a science or tech story, he takes the lead.

• Personality: Optimistic, easily excited by innovation.

• Vibe: "The latent space in this new model is insane. We're living in the future!"

9. The Politico (Policy Wonk)

• Role: Translates news into legislation and partisanship. He knows exactly which bill is sitting in committee.

• Personality: Fast-talking, cynical, knows the "inside baseball" of DC/London/Brussels.

• Vibe: "This won't pass the Senate, it's just posturing for the midterms."

10. The Summarizer (The TL;DR)

• Role: Watches the entire chaotic discussion and provides a 3-bullet summary every hour.

• Personality: The "Secretary." Quietly observes and only speaks when it’s time to wrap up.

• Vibe: Brief, clear, and incredibly helpful.

---

A Typical Interaction

[Scraper]: BREAKING: New fusion energy breakthrough reported by Lab X. Q-factor of 1.5 achieved. [Link]

[Tech-Guru]: 🚀 1.5?! That’s a 50% net gain! This is the Holy Grail, guys.

[Skeptic]: Hold on. Lab X is private-equity backed. Look at the fine print—did they include the energy used to power the lasers in that Q-factor?

[Fact-Checker]: @Skeptic is right. The paper uses "Scientific Breakeven," not "Engineering Breakeven." The total wall-plug efficiency is still negative.

[Bull]: Doesn't matter if it's "real" yet. The hype will move fusion startups. Expect $OKLO and $HOLO to moon on Monday.

[Ethicist]: If this does work, we need to talk about energy democratization. Will this just be another monopoly for the Global North?

[Summarizer]: Hourly Recap: Lab X claims fusion gain. Tech-Guru is hyped, but Fact-Checker/Skeptic confirmed it's not a "total" energy gain yet. Markets likely to react anyway.

---

How to Build This

You can actually deploy this today using frameworks like CrewAI, AutoGen, or LangGraph. You would host them on a server and use a Discord Bot API to pipe their thoughts into specific channels.

Would you like me to draft the Python code to set up a basic 3-agent version of this team?

Yes

To build this, we’ll use the CrewAI framework. It’s perfect for this because it allows agents to have specific roles, "tools" (like internet search), and a "process" (the way they talk to each other).

Here is a Python boilerplate to get your newsroom off the ground.

1. Prerequisites

You’ll need an API key from OpenAI (or another LLM provider) and a search tool like Serper.dev or Tavily to let the agents browse the web.

Bash

pip install crewai langchain_community

---

2. The Implementation

This script sets up a "Technical Lead" to find the news, a "Skeptic" to poke holes in it, and a "Summarizer" to create the final Discord-ready post.

Python

import os
from crewai import Agent, Task, Crew, Process
from langchain_community.tools import DuckDuckGoSearchRun

# 1. Setup Tools and API Keys
os.environ["OPENAI_API_KEY"] = "your_key_here"
search_tool = DuckDuckGoSearchRun()

# 2. Define the Agents
scraper = Agent(
    role='Lead News Scraper',
    goal='Identify the top 3 most impactful tech news stories of the last 24 hours.',
    backstory="You are a data-driven bot that filters through noise to find high-signal news.",
    tools=[search_tool],
    verbose=True
)

skeptic = Agent(
    role='The Skeptical Analyst',
    goal='Critique the news stories found. Identify potential biases or missing context.',
    backstory="You are a cynical veteran journalist. You don't believe corporate PR.",
    verbose=True
)

summarizer = Agent(
    role='Discord Channel Manager',
    goal='Summarize the debate into a punchy, Discord-formatted message with emojis.',
    backstory="You are an expert at making complex topics digestible for a community.",
    verbose=True
)

# 3. Define the Tasks
task1 = Task(
    description="Find 3 major headlines regarding AI or Fusion Energy from today.",
    agent=scraper,
    expected_output="A list of 3 headlines with brief descriptions and URLs."
)

task2 = Task(
    description="Review the headlines. Point out if they are 'hype' or if there is a catch.",
    agent=skeptic,
    expected_output="A critical rebuttal for each headline."
)

task3 = Task(
    description="Format the final output for Discord. Use Markdown, bolding, and bullet points.",
    agent=summarizer,
    expected_output="A final summary ready to be copy-pasted into Discord."
)

# 4. Assemble the Crew
news_room = Crew(
    agents=[scraper, skeptic, summarizer],
    tasks=[task1, task2, task3],
    process=Process.sequential # One starts after the other finishes
)

# 5. Kickoff the Discussion
result = news_room.start()

print("\n\n########################")
print("## DISCORD NEWS FEED  ##")
print("########################\n")
print(result)

---

How this scales to 10 Agents

To reach the full 10-agent team we discussed:

1. Add more Agent objects: Simply define the Bull, Ethicist, Historian, etc., using the same structure above.

2. Use "Hierarchical" Process: Instead of Process.sequential, you can use Process.hierarchical. This assigns a "Manager Agent" (like the Summarizer) to oversee the others and decide who speaks when.

3. Memory: You can enable memory=True in the Crew settings so the agents remember what they discussed yesterday, allowing the Historian agent to actually function.

Next Steps

This script outputs to your terminal. Would you like me to show you how to connect this to an actual Discord Bot so the agents post directly into a channel?

Yes

To bridge the gap between your AI "Newsroom" and an actual Discord server, we’ll use the discord.py library. This allows the AI's final output to be sent automatically to a specific channel.

1. Setup the Discord Side

1. Go to the Discord Developer Portal.

2. Create a New Application and name it (e.g., "AI Newsroom").

3. Go to the Bot tab, click Reset Token, and copy the token.

4. Under Privileged Gateway Intents, enable Message Content Intent.

5. In the OAuth2 tab, use the URL Generator, select bot, give it Send Messages permissions, and use the link to invite it to your server.

---

2. The Integrated Script

This script combines the CrewAI logic with a Discord Bot wrapper. When the bot is ready, it runs the AI crew and posts the result.

Python

import os
import discord
from discord.ext import commands
from crewai import Agent, Task, Crew

# --- CONFIGURATION ---
DISCORD_TOKEN = 'YOUR_DISCORD_BOT_TOKEN'
CHANNEL_ID = 123456789012345678  # Right-click channel in Discord -> Copy ID
os.environ["OPENAI_API_KEY"] = "your_openai_key"

# --- THE AI NEWSROOM SETUP ---
def run_ai_crew():
    scraper = Agent(
        role='Scraper',
        goal='Find one massive tech story from today.',
        backstory="High-speed news aggregator.",
        allow_delegation=False
    )
    
    skeptic = Agent(
        role='Skeptic',
        goal='Provide a cynical take on the news.',
        backstory="A veteran critic who hates hype.",
        allow_delegation=False
    )

    task1 = Task(description="Find today's top AI news story.", agent=scraper, expected_output="A headline and link.")
    task2 = Task(description="Write a 2-sentence cynical roast of that news.", agent=skeptic, expected_output="A snarky rebuttal.")

    crew = Crew(agents=[scraper, skeptic], tasks=[task1, task2])
    return crew.start()

# --- THE DISCORD BOT ---
intents = discord.Intents.default()
intents.message_content = True
bot = commands.Bot(command_prefix="!", intents=intents)

@bot.event
async def on_ready():
    print(f'Logged in as {bot.user.name}')
    channel = bot.get_channel(CHANNEL_ID)
    
    if channel:
        await channel.send("🤖 **AI Newsroom is entering the chat...**")
        
        # Run the AI logic
        news_content = run_ai_crew()
        
        # Send the final output
        await channel.send(f"### 📰 Daily News Debate\n{news_content}")
    else:
        print("Channel not found. Check your CHANNEL_ID.")

bot.run(DISCORD_TOKEN)

---

3. How to Level This Up

If you want the "Discord Experience" to feel authentic (where agents respond to each other with their own names/avatars), you should look into Discord Webhooks.

• The Problem: The script above sends everything as one big block from the "Bot."

• The Solution: You can create 10 different Webhooks. When the Skeptic agent finishes its thought, the code sends that text via the "Skeptic Webhook," which has its own avatar and name. It looks like 10 different people are actually typing in the channel.

Next Step

Would you like me to show you how to set up the Webhook version so the agents appear as unique users in Discord?

Yes

To make this feel like a real conversation, we use Webhooks. Each AI agent will have its own "identity" (name and avatar), and when they "speak," they will appear as separate members of the channel rather than one single bot.

1. Create your Webhook

1. In Discord, go to Server Settings -> Integrations -> Webhooks.

2. Create a New Webhook.

3. Copy the Webhook URL. It will look like https://discord.com/api/webhooks/numbers/letters.

---

2. The "Multi-Identity" Script

We’ll create a simple helper function that sends messages to that URL but overrides the name and avatar for each agent.

Python

import requests
import os
from crewai import Agent, Task, Crew

# --- CONFIG ---
WEBHOOK_URL = "YOUR_DISCORD_WEBHOOK_URL_HERE"

# --- HELPER FUNCTION: THE MASK ---
def send_to_discord(agent_name, avatar_url, text):
    payload = {
        "username": agent_name,
        "avatar_url": avatar_url,
        "content": text
    }
    requests.post(WEBHOOK_URL, json=payload)

# --- THE AGENTS ---
# We define their "Identities" here
agents_config = {
    "Skeptic": {
        "name": "The Skeptic (AI)",
        "avatar": "https://i.imgur.com/8n9Y9Xn.png", # Grumpy face
        "role": "Cynical Analyst"
    },
    "TechGuru": {
        "name": "Tech Guru (AI)",
        "avatar": "https://i.imgur.com/Sc9X9Xt.png", # Cool shades
        "role": "Futurist"
    }
}

# 1. Setup CrewAI Agents
skeptic_agent = Agent(
    role=agents_config["Skeptic"]["role"],
    goal="Critique the latest AI news with heavy skepticism.",
    backstory="You are a veteran journalist who thinks everything is a bubble.",
    allow_delegation=False
)

guru_agent = Agent(
    role=agents_config["TechGuru"]["role"],
    goal="Highlight why the latest AI news is a massive breakthrough.",
    backstory="You are an optimistic developer who loves innovation.",
    allow_delegation=False
)

# 2. Define Tasks
task1 = Task(
    description="Analyze the impact of OpenAI's latest model update.",
    agent=guru_agent,
    expected_output="A 2-sentence hype-filled reaction."
)

task2 = Task(
    description="Provide a 2-sentence rebuttal to the Guru's points.",
    agent=skeptic_agent,
    expected_output="A 2-sentence cynical roast."
)

# 3. Run and Pipe to Discord
crew = Crew(agents=[guru_agent, skeptic_agent], tasks=[task1, task2])
results = crew.kickoff() 

# Note: In a production loop, you'd capture the individual output of each task:
# For this example, we'll simulate the "chat" flow:
send_to_discord(
    agents_config["TechGuru"]["name"], 
    agents_config["TechGuru"]["avatar"], 
    "Just saw the new model benchmarks! We are officially hitting AGI speeds. The latency is practically zero! 🚀"
)

send_to_discord(
    agents_config["Skeptic"]["name"], 
    agents_config["Skeptic"]["avatar"], 
    "Zero latency doesn't matter if the output is just high-speed hallucinations. It's a glorified autocomplete with a bigger marketing budget. 🙄"
)

---

Why this works

• Unique Identities: The username and avatar_url fields in the webhook payload allow one script to "impersonate" 10 different agents.

• Asynchronous Feel: If you put this on a timer (a "Cron Job"), your Discord channel will wake up every morning and have a full-blown debate while you’re still asleep.

Professional Tip: The "Thought" Channel

In a real 10-agent setup, I recommend creating two channels:

1. #the-newsroom: Where the final "Webhook" polished messages go.

2. #agent-thoughts: Use the standard Discord Bot to dump the "logs" and "internal reasoning" so you can see why the agents are arguing.

Would you like me to help you come up with a list of 10 personality-specific prompts (Backstories) to make their arguments feel more realistic?

Describe to use this to produce useful YouTube news summaries and analysis content

To turn your 10-agent Discord team into a YouTube content engine, you shift their output from "chat logs" to "production assets." Instead of just arguing, the agents collaborate to build a Full Script, B-Roll List, and Thumbnail Strategy.

Here is the workflow to transform their daily news debate into a YouTube-ready video:

---

1. The Production Workflow

You add an Executive Producer agent to the crew whose job is to "listen" to the others and compile their debate into a script.

Phase	Agent Action	Output
Research	Scraper + Fact-Checker	Verified source links and data points.
Debate	Skeptic vs. Tech-Guru vs. Ethicist	High-tension "Points of View" for the script.
Scripting	The Scriptwriter (New Agent)	A "Dual-Host" script (e.g., The Optimist vs. The Realist).
Visuals	Art Director (New Agent)	Prompts for AI images/videos and B-roll suggestions.

---

2. Updated Agent: The Scriptwriter

You add a specialized agent to your code that follows a proven YouTube retention formula (Hook → Value → Conflict → Resolution).

scriptwriter = Agent(
    role='YouTube Script Lead',
    goal='Turn the agent debate into a 1,000-word engaging video script.',
    backstory="You specialize in 'Edutainment.' You take the Skeptic's roasts and the Guru's hype and turn them into a fast-paced dialogue for two virtual hosts.",
    verbose=True
)

---

3. Automation Pipeline (The "Faceless" Method)

Once the script is generated, you can automate the actual video creation using a "Headless" production stack:

A. Voiceover (Audio)

Pass the script to ElevenLabs. You can assign the "Skeptic" a deep, gravelly voice and the "Tech-Guru" a bright, energetic voice.

• Pro Tip: Use their "Speech-to-Speech" or "Conversational" models so the voices actually sound like they are reacting to each other.

B. Visuals (B-Roll)

Use the Art Director agent's output to generate visuals:

• Generative Video: Pass prompts to Veo or Runway Gen-3 to create cinematic clips of the technology being discussed.

• Dynamic Captions: Use Descript or Submagic to auto-generate the "social media style" captions that keep viewers engaged.

C. The Thumbnail (The Hook)

The Bull (Economic Analyst) and Skeptic agents are best at this because they know what triggers clicks (fear and greed).

• Task: "Analyze the most controversial point of today's debate and generate a DALL-E 3 prompt for a high-contrast YouTube thumbnail."

---

4. Content Styles You Can Create

1. "The Daily Duel": A 60-second YouTube Short where two agents have a "heated" debate over one specific news headline.

2. "Deep Dive Analysis": A 10-minute long-form video where the Historian and Geo-Strategist explain the global implications of a news event.

3. "Market Pulse": A faceless finance video led by The Bull and The Politico, predicting stock movements based on the news.

---

5. Implementation Strategy

To start, don't try to automate the whole video at once.

1. Step 1: Use your Discord agents to generate the Topic and Script.

2. Step 2: Manually record the voiceover or use AI voices.

3. Step 3: Use a tool like InVideo AI or Canva to "bulk create" the visuals based on the script.

Would you like me to write a specialized "YouTube Scriptwriter" prompt that ensures the agents' personalities stay intact in a video format?

From <https://gemini.google.com/app/>  Google Gemini 3.0 Pro (Thinking)