About this video

• Video Title: Give Me 9 Minutes, I'll Make You AI-Native
• Channel: Jeff Su
• Speakers: Jeff Su
• Duration: 00:08:55

Overview

This video explains how to transition from being AI-curious or AI-literate to AI-native by redesigning workflows to incorporate AI as a collaborator. The presenter outlines three key strategies, progressing from simple to advanced, to achieve this AI-native status.

Key takeaways

• Three Levels of AI Interaction: The video categorizes users into AI-curious (uses free tools, only when reminded), AI-literate (pays for AI, maintains prompt databases, knows when to use features), and AI-native (redesigns workflows assuming AI collaboration).
• Leave AI Breadcrumbs: A simple habit of creating hyperlinks to AI conversations and pasting them into the relevant documents where the output is used, to avoid losing valuable AI interactions.
• Build an AI Swipe File System: Instead of basic prompts, provide AI with specific examples from a curated library (swipe file) and ask it to analyze and apply those patterns to new content.
• AI-First Task Planning: Before starting a large project, break it down into small tasks, identify which can be done by AI, and select the most appropriate AI tool for each task.
• Maintain a Prompts Database: Save effective prompts in a central, organized library for easy reuse, preventing the frustration of recreating successful prompts from memory.

The three levels of working with AI discussed in the video are:

1. AI-curious: These individuals rely on free AI tools and only use chatbots when prompted or when they are stuck.
2. AI-literate: This group pays for AI tools, maintains a database of prompts, and knows when to use specific AI features and models.
3. AI-native: These individuals have redesigned their workflows to assume the existence of an AI collaborator.

The "Leave AI Breadcrumbs" habit helps users organize their AI interactions by creating a hyperlink to the AI conversation and pasting it directly into the document where the output is being used. This method organizes information by where it will be used, rather than where it was found, making it easy to reference and pick up where you left off, even days or weeks later. It's a way to anchor AI chats to specific work contexts instead of relying on chronological search.