Multilingual AI Agents for Poetry using GPT-5 & AutoGen/AG2
BeginnerGuided Project
Learn how to use AutoGen’s multi-agent framework with GPT-5 to collaboratively generate and refine poetry. The agents are multilingual—generate poems in any language you choose. You provide the theme (plus optional form and tone); a Muse proposes and selects the concept, a Verse Crafter writes the poem, and a Poetry Editor lightly polishes and signals POEM_COMPLETE. A simple, guided flow that shows how GPT-5 + AutoGen turn your idea into a finished poem—without the heavy technical setup. Learn AutoGen's multi-agent architecture by taking this hands-on project now!
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Language
- English
Topic
- Artificial Intelligence
Enrollment Count
- 715
Skills You Will Learn
- AI Agent, Artificial Intelligence, Autogen, Generative AI, Multimodal AI, Python
Offered By
- IBMSkillsNetwork
Estimated Effort
- 35 minutes
Platform
- SkillsNetwork
Last Update
- March 17, 2026
About this Guided Project
Creating beautiful poetry no longer needs to be daunting. This AI Poetry Studio is a multilingual, multi-agent system that transforms your poem’s theme and preferences into a fully crafted, polished piece—in any language you choose.
The journey begins with a single input from you: the theme of your poem, plus optional details like language, poetic form, and tone. From there, a team of specialized AI agents takes over, each with a distinct role in the creative process:
- 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.
Working together via the AutoGen framework and powered by the GPT-5 nano model, these AI agents collaboratively create poetry that is well-structured and elegant, delivered in your chosen language. By the end of the session, you receive a beautifully finished poem that showcases the seamless orchestration of multiple intelligent agents blending creativity with precision.
This system empowers you to co-create original poetry with AI, experiencing the harmony between your input and advanced multi-agent workflows.
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
After completing this guided project, you will be able to do:
- 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
Technical Requirements: A basic understanding of Python programming. Experience with AI or LLMs is helpful but not required.
Browser Setup: A modern web browser to access CrewAI tools, follow the guided environment, and run your code.

Language
- English
Topic
- Artificial Intelligence
Enrollment Count
- 715
Skills You Will Learn
- AI Agent, Artificial Intelligence, Autogen, Generative AI, Multimodal AI, Python
Offered By
- IBMSkillsNetwork
Estimated Effort
- 35 minutes
Platform
- SkillsNetwork
Last Update
- March 17, 2026