Create Blog “part-5-agentic-ai-team-coordination-mode-in-action”

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+---
+title: "Part 5: Agentic AI: Team Coordination Mode in Action"
+date: 2025-07-21T07:24:24.522Z
+author: Dinesh R Singh
+authorimage: /img/dinesh-192-192.jpg
+disable: false
+---
+
+
+One of the most transformative patterns in Agentic AI is team-based orchestration — a collaborative approach where specialized agents work together to fulfill complex goals. In this edition, we explore Coordinate Mode using the AGNO Framework — a design where a Team Manager delegates, supervises, and integrates the contributions of each agent.
+
+Inspired by a Medium post by Dinesh R
+
+![](/img/screenshot-2025-07-21-at-12.57.22 pm.png)
+
+## What Are Agentic AI Teams?
+
+An Agentic Team is a structured collection of AI agents, each performing a specific role with autonomy and tool access. Teams can include roles like:
+
+* Researcher: Finds and filters relevant data
+* Writer: Synthesizes content with tone and structure
+* Translator: Converts content across languages
+* Planner: Organizes execution based on goals
+
+In Coordinate Mode:
+
+* A Team Manager Agent directs the flow of tasks
+* Individual agents handle sub-tasks independently
+* Final results are reviewed, refined, and unified by the manager
+
+- - -
+
+AGNO Framework: Coordinating a Multi-Agent Content Team
+
+Let’s examine a professional-grade configuration of a New York Times-style editorial team, where search, writing, and editorial review are handled by distinct agents.
+
+Imports
+
+from agno.agent import Agent
+
+from agno.models.openai import OpenAIChat
+
+from agno.team.team import Team
+
+from agno.tools.search import DuckDuckGoTools
+
+from agno.tools.read import Newspaper4kTools
+
+- - -
+
+Searcher Agent
+
+searcher = Agent(
+
+name="Searcher",
+
+role="Searches the top URLs for a topic",
+
+instructions=[
+
+     "Generate 3 search terms for a topic.",
+
+     "Search the web and return 10 high-quality, relevant URLs.",
+
+     "Prioritize credible sources, suitable for the New York Times."
+
+],
+
+tools=\[DuckDuckGoTools()],
+
+add_datetime_to_instructions=True,
+
+)
+
+- - -
+
+Writer Agent
+
+writer = Agent(
+
+name="Writer",
+
+role="Writes a high-quality article",
+
+description="Senior NYT writer tasked with long-form editorial content.",
+
+instructions=[
+
+     "Read all articles using \`read_article\`.",
+
+     "Write a structured, engaging article of at least 15 paragraphs.",
+
+     "Support arguments with factual citations and ensure clarity.",
+
+     "Never fabricate facts or plagiarize content."
+
+],
+
+tools=\[Newspaper4kTools()],
+
+add_datetime_to_instructions=True,
+
+)
+
+- - -
+
+Editor Team (Manager Agent in Coordinate Mode)
+
+editor = Team(
+
+name="Editor",
+
+mode="coordinate",
+
+model=OpenAIChat("gpt-4o"),
+
+members=\[searcher, writer],
+
+description="You are a senior NYT editor coordinating the team.",
+
+instructions=[
+
+     "Delegate research to the search agent.",
+
+     "Delegate drafting to the writer.",
+
+     "Review, proofread, and enhance the final article.",
+
+     "Maintain NYT-level quality, structure, and tone."
+
+],
+
+add_datetime_to_instructions=True,
+
+send_team_context_to_members=True,
+
+show_members_responses=True,
+
+markdown=True,
+
+)
+
+- - -
+
+ Running the Team
+
+Method 1: Print output directly
+
+editor.print_response("Write an article about latest developments in AI.")
+
+Method 2: Get raw result
+
+python
+
+CopyEdit
+
+response = editor.run("Write an article about latest developments in AI.")
+
+- - -
+
+Key Parameters Explained
+
+<table>
+  <thead style="background-color:#f2f2f2">
+    <tr>
+      <th>Parameter</th>
+      <th>Purpose</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td><code>mode="coordinate"</code></td>
+      <td>Enables structured delegation and task flow</td>
+    </tr>
+    <tr>
+      <td><code>members=\\[...]</code></td>
+      <td>Assigns role-specific agents</td>
+    </tr>
+    <tr>
+      <td><code>send_team_context_to_members</code></td>
+      <td>Shares global task context with all agents</td>
+    </tr>
+    <tr>
+      <td><code>show_members_responses=True</code></td>
+      <td>Displays each member's intermediate output</td>
+    </tr>
+    <tr>
+      <td><code>add_datetime_to_instructions</code></td>
+      <td>Contextualizes outputs with current date/time</td>
+    </tr>
+  </tbody>
+</table>
+
+Pro Tip: Define Success Criteria
+
+Adding success_criteria helps agents align their efforts with measurable outcomes.
+
+python
+
+CopyEdit
+
+strategy_team = Team(
+
+members=\[market_analyst, competitive_analyst, strategic_planner],
+
+mode="coordinate",
+
+name="Strategy Team",
+
+description="A team that develops strategic recommendations",
+
+success_criteria="Produce actionable strategic recommendations supported by market and competitive analysis",
+
+)
+
+response = strategy_team.run(
+
+"Develop a market entry strategy for our new AI-powered healthcare product"
+
+)
+
+This ensures agents not only act — but act with strategic purpose and direction.
+
+![A screenshot of a computer
+
+AI-generated content may be incorrect.](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeozc8krAlw2Fv3tJ0XA0UQ0mWQHg18re_uMmiOQWm74S61dPhbmt2CHkPE3K3yrKonk1wILiSRsOIWzE-eqBEfSQ7y1uEkEL0Ss5_7JPxfLLogREgJg9yyTVemIED2SxNkc69T?key=H68knZDq8LPblpx1flSBtQ)
+
+- - -
+
+Conclusion
+
+Coordinate Mode in Agentic AI exemplifies intelligent task distribution, where specialized agents work under centralized leadership to deliver complex, high-quality outputs. The AGNO Framework simplifies this orchestration through agent roles, tool integration, and goal alignment — enabling scalable, auditable AI workflows.
+
+From editorial pipelines to business strategy engines, multi-agent coordination is redefining how work gets done — autonomously, intelligently, and collaboratively.