AI Agents Teams > Task-Specific Tools

Task-specific tools are nice to catch people’s interest and get them started with AI, but they are only an entry point. The true potential of these technologies, including in education, will come from the development of AI agents teams equipped with advanced functionalities and responsible for complex, automated workflows. Here are two simple, early examples.

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🌐 AI is not a suite of task-specific tools, but an ecosystem of technologies enabling individuals and organization to develop their own solutions.

🤔 AI prompts US to answer the question: how can we use this new form of energy to be more efficient, effective, and innovative?

🤖 Solutions with the most impact will not be simple “tools”. They will be teams of AI agents equipped with advanced functionalities and responsible for complex, automated workflows.

🔧 Creating such workflows is already quite easy with interfaces such as Zapier Central or open source options, such as CrewAI. And it will only get more powerful, and accessible, with time.

Zapier Central

📧 See in the video how Zapier Central allows you to set up and chat with an Email Assistant.

CrewAI

CrewAI is an open-source architecture simplifiying the creation of AI agents teams. While it runs natively on GPT-4, it can easily be made to call Mixtral through the superfast Groq API, and even local models with Ollama.
Below is a demonstration of a Pro/Con Assistant:

• The user submits an idea
• A first agent clarifies the query to operationalize the problem
• A second agent conducts online research into "pros"
• A third agent conducts online research into "cons"
• A final agent synthesizes the agents' teamwork and outputs both a summary and a table with references.

Obviously, more complex workflows can be developed with additional tools, as well as integrations - for instance with Google Workspace.