CrewAI

CrewAI Tutorial

CrewAI is an open-source framework for building and managing teams of AI agents that can collaborate to complete tasks. Instead of a single chatbot, you set up a “crew” of specialised agents — each with roles, goals, and tools — and CrewAI handles how they work together.

Make Money With This 💰

• Build agent-powered apps (e.g. research assistants) and charge subscriptions.

• Sell custom CrewAI setups to startups needing automation.

Use Cases

• Market research crew: researcher agent finds data, writer agent drafts reports.

• Content pipeline: idea generator, writer, and editor agents.

• Coding crew: one agent writes code, another tests, another documents.

• Business automation: automate repetitive tasks like data entry + reporting.

Key Features

• Agent teamwork: multiple AI agents can plan, execute, and review tasks.

• Custom workflows: design step-by-step pipelines for complex jobs.

• Tool integration: connect to APIs, databases, or custom functions.

• Flexible LLMs: works with OpenAI, Mistral, or other backends.

• Open source: community-driven development.

Getting Started

Step 1: Go to CrewAI GitHub.

Step 2: Install CrewAI: pip install crewai

Step 3: Create a Python file and import CrewAI.

Step 4: Define two agents with goals (e.g. “Research Web3 trends”, “Summarise into 200 words”).

Step 5: Add them to a crew.

Step 6: Run .kickoff() to execute the workflow.

Example Prompt

Researcher agent: “Find top 5 AI startups in Europe.”

Writer agent: “Summarise findings into a 300-word blog post.”

What you’ll see: CrewAI coordinates so the output is a ready-to-publish article.

Tool Snapshot: Pros & Cautions

Best if: you want to automate workflows or explore agentic AI.

Not ideal if: you just want a simple chatbot.

Pricing Snapshot

• Free & open source.

• Costs depend on API usage (e.g. OpenAI credits, Replicate hosting).

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