LukeW

A persistent attribute of AI-powered applications is their propensity to generate text: lots and lots of text. Text requires scanning and scrolling for the useful bits and too much of it gets pretty monotonous pretty quick. So I've been working on more visual replies for my personal AI, Ask LukeW<...

As AI can agents tackle more work, we naturally assign more work to them. The most notable example this week was OpenAI's use of 10,000 concurrent agents to propose a solution to the Navier–Stokes Millennium Prize Problem. That's a lot of agents. How do you keep them all...

Just about every chat-based AI application kicks things off with a question. What do you want to do? Ask anything! They just assume that people always know what to ask for and how. But what if we start AI-powered experiences with an ...

Last year, I walked through the evolution of AI products to date starting with AI models behind the scenes and ending with an assertion that "the inevitable next step is for AI models to collaborate and interact to get things done." Today, we're firmly in that stage with agent

Big AI models like ChatGPT and Claude get all the attention, but the continually increasing amount of fast, low cost models means today's software can embed little bits of intelligence anywhere they're needed. And when software can think, we can rethink the UI of software.

For most of its history, software has been deterministic. An application's behavior was thought ...