• Author Agent captures your theme and preferences in one clear brief to kick off the session.
• Muse Agent proposes three distinct poetic directions—titles, moods, and concepts—and selects the strongest one to pursue.
• Verse Agent develops the selected idea into a complete poem with crisp line breaks and imagery tailored to your style.
• Editor Agent lightly polishes for rhythm and clarity while preserving meaning, then signals completion with POEM_COMPLETE.

Who Should Enroll

• Developers, data scientists, and AI enthusiasts interested in building creative applications with multi-agent systems
• Writers, educators, and poetry lovers curious about how AI can assist in narrative generation and content design
• Learners eager to explore practical applications of AutoGen (AG2) & OpenAI’s GPT-5 in collaborative creative workflows.

A Look at the Project Ahead

• Understand AutoGen’s multi-agent architecture – Learn how to design and coordinate specialized agents to simulate a real-world poetry creation workflow.
• Build intelligent writing agents – Create agents with defined roles such as Muse Generator, Verse Crafter, and Poetry Editor to handle different stages of poetic composition.
• Orchestrate collaborative book creation – Combine individual agent contributions to generate cohesive poems with consistent rhythm, tone, and literary quality.
• Learn to build and run agent workflows with AutoGen – Use Python and AutoGen to define agents, manage communication, and streamline task execution.
• Deliver personalized poetic experiences – Produce customized poems based on user inputs like theme, mood, or phrase.

What You'll Need