There’s a growing idea in the AI-driven tech world that quality can come from sheer volume. Build an app, rebuild it 20 times, run AI tests on each version, and then someone chooses the quality: the version that works best.

What if incorporating more AI into your business meant that you could invest less of your time, get more value from that time, and then be good humans, be compassionate to yourselves and others in the time and the freedom that that creates? You would essentially be able to give that AI benefit back to your employees to allow them more time to breathe, to deal with external stressors, and allow your employees to do more excellent work.

For this week’s post, we want to highlight an article by Arvind Narayanan & Sayash Kapoor from Columbia University. They say we should look at AI as "normal technology".

For this post, we asked our friend Travis Adney to discuss how his business utilizes AI. Travis is the Director of Innovation at Lawrence & Schiller and the Managing Director of their new Minneapolis office.

A skill is a reusable set of instructions, scripts, and resources that allows the AI to perform specialized, repetitive tasks. Think of it like a recipe for your AI output.

They enhance your web browsing experience by adding an AI tool on the side, allowing you to chat in real-time with the web page you're viewing. We’ve talked before about the benefit of adding context to your AI prompts, and these new browser tools are basically doing that step for you.

What is "workslop"? -- that's the term for when AI is used to generate plausible-looking but incorrect output, and a human being passess that work off as their own.

Model context protocol or MCP is an open protocol that works like an API, which means you can give your AI permission to connect to tools like GitHub or Figma and interact with those tools you are already using in your business.

The idea of a robot version of yourself taking over the drudgery of your job while you are playing video games or watching TV is pretty appealing. But can AI really replace an employee? We’re pretty sure the answer is no. At least not yet.