Think bigger: Unknown use cases in GenAI
Discover innovative GenAI use cases that boost efficiency, transform workflows, and unlock productivity in everyday tasks. Embrace the future of AI!
This was the content that I presented at the Emory Center for AI Learning day-long event AI.DIVE.
Step into the future of practical AI with me! In these recordings, I explore how cutting-edge AI tools can transform everyday tasks, streamline workflows, and unlock new levels of productivity. From boosting efficiency in content creation to developing personalized learning experiences, I dive deep into how AI can work hand-in-hand with us to tackle challenges on a grand scale. Whether you’re interested in actionable AI applications or curious about the potential of agent-based systems, these sessions are packed with insights, live demos, and the latest strategies to make AI work for you—right now. Let’s get started and reimagine what’s possible!
Nobody takes you aside anymore
Print taught a generation when to stop. What we lose when the machines absorb the constraints that used to form us.
Your AI agents need a water cooler
Coordination is a property of the room, not the org chart. What that means when your coworkers are agents.
On the death of the author and the birth of the detector
Why worrying about AI authorship is lazier, and more prejudiced, than it looks.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
Did the state change? A simple test for whether work actually happened
Either something exists now that did not exist before, or it does not. A simple test for whether work actually happened, and what changes when you build your systems so they can't record anything else.
How to manage content for multiple clients without flattening their voices
How to manage content for multiple clients without their voices blurring into one house style: a workspace and a voice profile per client, batchable stages, and approval buffers.
Why does AI writing sound generic? It has nothing to work with
Why does AI writing sound generic? Because the model has none of your perspective, examples, constraints, or stakes to work with. The fix is interview-first, not better adjectives.
Article analysis: AI in education: Enhancing teaching, not replacing teachers
Discover how AI enhances education by supporting teachers, personalizing learning, and addressing challenges while preserving essential human connections.
Collaborative intelligence: Harnessing AI to amplify human potential
Discover how to leverage AI to boost efficiency and productivity, transforming everyday tasks and amplifying human potential in the workplace.
Article analysis: Mastering the human-AI balance in marketing: Insights and strategies
Master the art of blending AI with human creativity in marketing to drive deeper connections and enhance your team's effectiveness.