CrewAI AI Content Ideator Agents Team

Updated: Jun 7

How to Create an AI Agents Team for Content Ideation and Content Calendar

Creating an AI agents team for content ideation and content calendar planning can significantly enhance your content strategy. This guide will show you how to use the provided Python code to set up and manage a team of AI agents that collaborate to generate a detailed content calendar.

Prerequisites

Before starting, ensure you have the following:

Python 3.6 or higher
Required libraries & Credits: crewai, crewai_tools, langchain_google_genai
Google API key for Gemini-pro

Step-by-Step Guide

1. Setting Up the Environment

First, you need to install the necessary libraries. Open your terminal and run:

pip install crewai crewai-tools langchain-google-genai

Next, set up your environment variables for API keys and file paths. This ensures that your agents can access the necessary resources:

export GEMINI_API_KEY="your_google_api_key"
export SEARCH_SAVE_FILE="path_to_your_save_file"

2. Define AI Agents

Each AI agent will have a specific role and set of responsibilities. Here’s a brief overview of the roles:

Content Researcher: Conducts web research to find content opportunities based on provided keywords.
Google Trends Specialist: Analyzes Google Trends data to identify high-value keywords and topics.
Content Planner: Develop a content calendar using insights from other agents.
Content Marketing Manager: Ensures the content calendar is optimized and aligned with the overall content strategy.

3. Create the Agents

You will need to create each agent using the Agent class from the crewai library. Each agent is initialized with a role, goal, backstory, tools, and an LLM (Large Language Model) for natural language processing.

Here’s an example of creating a Content Researcher agent:

content_researcher = Agent(
    role='Senior Web Research Analyst (Content Strategy): Aisha Sharma',
    goal=f"Help create a highly detailed 2-month-long content calendar focused around keywords: {search_keywords}.",
    tools=[SerperDevTool()],    llm=ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=os.getenv("GEMINI_API_KEY")))

4. Define Tasks

Each agent will have specific tasks to perform. Tasks are created using the Task class. Here’s an example of a task for the Content Researcher:

research_task = Task(
    description=f"Conduct web analysis on '{search_keywords}' for content calendar.",
    expected_output="Provide comprehensive content calendar ideas to Senior Content Strategist.",
    agent=content_researcher)

5. Execute Tasks

Once you have defined your agents and their tasks, you can execute them using the Crew class. This class manages the execution and collaboration between agents.

crew = Crew(
    agents=[content_researcher, google_trends_researcher, content_planner, content_marketing_manager],
    tasks=[research_task, google_trends_task, planner_task, marketing_manager_task],
    verbose=2)
result = crew.kickoff()
print("########## Final Output Result ############")
print(result)

6. Integrate Google Trends Analysis & Google search

Integrate Google Trends analysis into your workflow to enhance the research done by your agents:

def ai_agents_planner(search_keywords):
    already_written_on = os.path.join(os.getcwd(), "lib", "content_planning_calender", "content_already_planned.txt")
    do_google_trends_analysis(search_keywords)
    agents = create_agents(search_keywords, already_written_on)
    tasks = create_tasks(agents, search_keywords, already_written_on)
    result = execute_tasks(agents, tasks)
    print("########## Final Output Result ############")
    print(result)

Conclusion

By following these steps, you can create a team of AI agents to streamline your content ideation and planning processes. This setup not only saves time but also ensures your content strategy is data-driven and optimized for success.

Check out Alwrity at Git Hub.

Experiment with different configurations and tools to tailor the agents to your specific needs, and enjoy the benefits of an automated content strategy.

Alwrity