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Foundations of AI Meeting Automation

The Need for Agentic AI in Meetings

Defining the Perfect Output Structure

Preparing Inputs: Transcripts and Recordings

Building the Meeting Agent

Crafting the System Prompt

Structuring Output for Automation

Handling Edge Cases and Ambiguity

Workflows and Integrations

Pushing Actions to Task Tools

Testing and Refining the Agent

🎮 Pixel Quest: The Automator's Journey

Quiz

Quiz: Meeting Automation Fundamentals

Quiz: Output Structure Essentials

Quiz: Prompting and Edge Cases

Quiz: Integrations and Tools

Quiz: Final Scenario Assessment

Course Feedback

Course Evaluation

Turn every meeting into momentum. Transforming Meetings into Action Plans with Agentic AI is a hands-on course that shows you how to move from scattered notes and lengthy transcripts to crisp, structured summaries that drive real execution. You’ll learn the foundations of agentic AI for meeting automation—what it is, why it matters, and how to design outputs that teams can actually use. Then you’ll build your own meeting agent: craft high-impact system prompts, structure JSON/Markdown outputs for downstream tools, and handle edge cases like missing owners or fuzzy deadlines with confidence. Finally, you’ll plug your agent into popular task managers so action items never get lost again. Ideal for PMs, team leads, operations pros, and builders who want fewer status meetings and more completed tasks, this course pairs practical examples with test workflows so you can iterate quickly. By the end, you’ll have a repeatable pipeline that converts noisy audio into decisions, action items, owners, deadlines, and risks—ready to ship into Notion, Asana, Trello, or your stack. Stop recapping meetings. Start shipping outcomes.

Transforming Meetings into Action Plans with Agentic AI

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            <p>Traditional meetings often suffer from the limitations of human memory and the inherent inefficiency of manual note-taking, where critical decisions and action items frequently get lost in the noise of conversation. This course explores the transition from passive recording to active intelligence through the implementation of agentic AI. By defining a perfect output structure—encompassing decisions, owners, deadlines, and risks—you will learn how to transform raw transcripts into high-fidelity data. We begin by establishing the foundations of AI meeting automation, focusing on the preparation of high-quality inputs and the necessity of clear speaker identification to ensure the AI can accurately parse complex dialogues and maintain accountability.</p>

<p>Beyond the initial setup, the curriculum provides a deep dive into the technical construction of a specialized meeting agent, from crafting precise system prompts to structuring outputs in formats like JSON and Markdown for seamless automation. You will discover how to handle ambiguity and edge cases, ensuring your AI flags missing information rather than making assumptions. Finally, the course bridges the gap between intelligence and execution by demonstrating how to integrate these AI-generated insights directly into project management tools like Notion, Asana, and Trello. Through iterative testing and refinement, you will develop a robust workflow that ensures every meeting results in a clear, actionable plan that drives organizational progress.</p>
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