My 17 Minute AI Workflow To Stand Out At Work

About this Video

• Video Title: My 17 Minute AI Workflow To Stand Out At Work
• Channel: Vicky Zhao [BEEAMP]
• Speakers: Vicky Zhao
• Duration: 00:17:30

Introduction

This video demonstrates a three-step AI workflow designed to enhance professional knowledge work. The speaker argues that leveraging AI to improve input quality, rather than simply outsourcing tasks, leads to superior outputs. The workflow integrates academic research to provide more nuanced and actionable insights compared to typical internet searches.

Key Takeaways

• Focus on Input Quality: The speaker emphasizes improving the input data used in AI tools, arguing that "garbage in, garbage out" applies to AI as well.
• Three-Step AI Workflow: The workflow involves using Elicit to find relevant academic papers, NotebookLM to process those papers, and Claude to refine and synthesize the information into actionable plans.
• Leveraging Academic Research: The core idea is to use AI to access and process information from high-quality academic sources (like HBR, McKinsey Quarterly) to gain a competitive advantage.
• Actionable Insights: The workflow aims to translate complex academic research into practical, immediately applicable strategies for workplace challenges.
• Example Workflow (Team Underperformance): The video walks through an example of using the workflow to address the problem of underperforming teams, showing how the process generates a detailed and nuanced plan.