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: 17:30

Overview

This video explains how to leverage AI to enhance knowledge work by improving the input stage of the workflow. The speaker introduces a three-step AI workflow using Elicit, NotebookLM, and Claude to transform complex academic research into actionable insights for practical work, demonstrating this with an example of improving team performance.

Key takeaways

• The changing landscape of knowledge work: In 2025, information creation will be faster than comprehension, making signal detection amidst noise more critical. AI-generated content will exacerbate this.
• Improving the input stage: Instead of outsourcing thinking to AI, focus on using AI to improve the quality of input data by incorporating academic research and peer-reviewed papers.
• Three-step AI workflow:
  1. Elicit: Use this tool to find academic papers relevant to a specific question.
  2. NotebookLM: Upload research papers to this tool to generate summaries, tables of contents, and ask specific questions about the content, reducing hallucination risks compared to general LLMs.
  3. Claude: Use this tool to further refine and operationalize the insights gained from NotebookLM, creating detailed plans and actionable frameworks.
• From theory to practice: The workflow aims to transform complex academic knowledge into practical, actionable insights for teams and organizations, positioning individuals as a source of curated expertise.
• Example: Improving Team Performance: The video demonstrates how to use Elicit to find papers on team performance, NotebookLM to extract key themes like task design and leadership, and Claude to generate detailed action plans, leading to more impactful and specific recommendations than generic AI responses.