How to Decide What Work AI Should Do for You: The AI Deputization Audit
How to Decide What Work AI Should Do for You: The AI Deputization Audit
How to Decide What Work AI Should Do for You: The AI Deputization Audit
Shownote
Shownote
OpenAI’s Computer History and GrokBot’s “teach a task” feature point to a new
phase of AI: tools that learn how you work so they can take more work off your
plate. NLW introduces the AI Deputization Audit, a simple framework for deciding
what to hand over, what to do alongside AI, and what to keep for yourself. In
the headlines: Gemini 3.7 Flash, the true cost of cheaper models, GPT-5.6 Sol’s
ultra-fast mode, and more OpenAI executive turnover.
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Highlights
Highlights
This episode explores how AI is moving beyond answering questions toward taking on real responsibilities. It also considers what people and organizations must understand before they begin handing work to increasingly capable agents.
Chapters
Chapters
Why AI competition now depends on speed, cost, and company leadership
00:00As models improve, access to personal context becomes the real bottleneck
10:54How agents learn your workflow—and why observation raises privacy concerns
16:14Which tasks should AI handle, share, or leave entirely to you?
21:10Putting the deputization framework to work through practical experiments
26:00Transcript
Transcript
Nathaniel Whittemore: What if I told you that figuring out what parts of your work you should be getting AI to automate was a simple math equation? This week, two new products came online that make getting AI to do work for you much simpler. GrokBot gives ...
