Update Blog “part-7-how-collaborative-teams-of-agents-unlock-new-intelligence”

Author: dineshr1493

content/blog/part-7-how-collaborative-teams-of-agents-unlock-new-intelligence.md

@@ -1,5 +1,5 @@
 ---
-title: "Part 7: How Collaborative Teams of Agents Unlock New Intelligence"
+title: "Part 7: How Collaborative Teams of Agents unlock new intelligence"
 date: 2025-07-21T10:34:35.011Z
 author: Dinesh R Singh
 authorimage: /img/dinesh-192-192.jpg
@@ -45,7 +45,7 @@ Each returns findings from their ecosystem, which the coordinator blends into a
 
 ### 1. Import modules & tools
 
-```import
+```python
 from textwrap import dedent
 from agno.agent import Agent
 from agno.models.openai import OpenAIChat
@@ -62,7 +62,7 @@ Each agent is built for platform-specific intelligence gathering.
 
 ### Reddit Agent
 
-```
+```python
 reddit_researcher = Agent(
 name="Reddit Researcher",
 role="Research a topic on Reddit",
@@ -75,7 +75,7 @@ instructions=dedent("""You are a Reddit researcher..."""),
 
 ### HackerNews Agent
 
-```
+```python
 hackernews_researcher = Agent(
 name="HackerNews Researcher",
 model=OpenAIChat("gpt-4o"),
@@ -88,7 +88,7 @@ instructions=dedent("""You are a HackerNews researcher..."""),
 
 ### Academic Agent
 
-```
+```python
 academic_paper_researcher = Agent(
 name="Academic Paper Researcher",
 model=OpenAIChat("gpt-4o"),
@@ -101,7 +101,7 @@ instructions=dedent("""You are an academic researcher..."""),
 
 ## Twitter - X Agent
 
-```
+```python
 twitter_researcher = Agent(
 name="Twitter Researcher",
 model=OpenAIChat("gpt-4o"),
@@ -115,7 +115,7 @@ instructions=dedent("""You are a Twitter researcher..."""),
 
 ### 3. Define the Team
 
-```
+```python
 agent_team = Team(
 name="Discussion Team",
 mode="collaborate",
@@ -144,7 +144,7 @@ show_members_responses=True,
 
 ### 4. Running the Discussion
 
-```
+```python
 if __name__ == "__main__":
 
 asyncio.run(
@@ -158,7 +158,7 @@ asyncio.run(
 
 ### Example output
 
-```
+```python
 * Reddit: Focus on project-building and freeCodeCamp
 * HackerNews: Start with Python and open-source
 * Academia: Reinforce with spaced repetition and mentorship
@@ -170,7 +170,7 @@ asyncio.run(
 
 ## Pro Tip: Run Agents in parallel
 
-```
+```python
 asyncio.run(
 
 agent_team.print_response(
@@ -182,8 +182,6 @@ agent_team.print_response(
 
 Using asyncio ensures agents work simultaneously, which dramatically boosts speed and output quality—especially in research-heavy or time-sensitive use cases.
 
-
-
 ## Final thought's
 
 Collaborate Mode is more than a clever orchestration pattern—it’s the embodiment of distributed intelligence. By mimicking the structure of human brainstorming, it allows AI to perform with greater breadth, depth, and creativity. With frameworks like AGNO making implementation seamless, the age of intelligent, agent-led collaboration is no longer speculative—it’s operational.