Ensemble Session: AI Meets Agile

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About Course

This foundational session introduces your team to a powerful new reality: Agile collaboration with AI. Designed for cross-functional teams, this experience shows how AI can reduce friction, accelerate clarity, and spark new thinking in everyday Agile activities.

In the first hour, we explore prompt engineering fundamentals and prompt patterns that can help your team automate, simplify, and reflect more effectively. We draw on content from Prompt Engineering for Everyone, including prompting core skills, prompt patterns, and the prompt pack for Agile teams.

Then we move into hands-on mobbing exercises where participants apply AI to real or simulated Agile workflows—backlog refinement, sprint planning, retrospectives, and documentation. Along the way, we emphasize clarity, iteration, and collaboration.

This is not about code generation. It’s about helping your team save time, build shared understanding, and make better decisions—together and with the help of AI.

After this session, your team will confidently use AI tools to accelerate non-coding Agile tasks—planning, retrospectives, analysis, and documentation—while deepening their shared understanding of how to work together with AI as a collaborative partner.

Real Pain Points Addressed

  • Team members are unsure how to use AI effectively in their Agile workflow
  • AI-generated output feels unpredictable, untrustworthy, or hard to evaluate
  • Meetings like backlog grooming and retrospectives feel repetitive or unclear
  • Teams feel overwhelmed by the speed of AI change and underprepared to adapt
  • Agile has become mechanical—this session reintroduces adaptability and intelligence

 

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What Will You Learn?

  • The fundamentals of prompt engineering and how AI interprets instructions
  • Common prompt patterns like iteration, role-play, rewrite, and comparison
  • How to use AI for Agile ceremonies: planning, retros, and story writing
  • How to adapt prompt styles for different team roles (devs, PMs, QA)
  • How to evaluate and refine AI-generated output quickly
  • How to avoid misuse of AI in Agile workflows
  • How to develop reusable prompts and custom GPTs for your team
  • When to trust AI—and when to rely on human judgment

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