AI agents are advancing at a rapid pace, making specific how-to guidance transient. Enduring focus should be placed on stable truths about technology transformation and human workflows. Prioritization matters more than raw output: individuals and teams should concentrate on the most important, high-impact work rather than attempting to complete every task faster. Generative AI productivity claims that encourage doing more can misalign incentives and encourage unnecessary effort. Some lower-priority tasks may correctly remain undone. Effective AI agent design should emphasize helping people choose the right work and improve its quality, not merely increase speed or volume of completed tasks.
The pace of change in this corner of technology is absolutely bonkers at the moment. If I stood up here and I tried to teach you about how to build an AI agent yourself, when you go home, it would probably be out of date by the time you left the building, and so I'm not going to do that.
This is a talk about AI agents, and so I'm going to start by asking you to forget about all of the productivity gains and the benefits that you may have been promised from chat-based tools like ChatGPT or Claude. People are citing massive numbers. The productivity benefits go from anything from 20% to 40% to 60%. I find this conversation so boring.
Collection
[
|
...
]