Here’s a quick refresher on agents vs. skills in AI tools like Claude, Claude Code, Google Antigravity, Qwen Code, etc. An agent is an autonomous version of the AI typically pre-prompted to do a specific kind of task: debugging, acting as the voice of the customer, being a co-CEO. If you’re familiar with GPTs from
Here’s 2 people fully harvesting 30 acres of wheat in an hour. That’s a John Deere X9 1100 Combine Harvester. It’s gigantic, the width of a small house. It cuts, threshes, and winnows all in one step, pouring the finished grain into a grain hopper. For those unfamiliar, harvesting wheat is a pain in the
Plan big, act small has never been more important. This is Principle 27 in my book, Almost Timeless: 48 Foundation Principles of Generative AI. In the last month, we’ve had 3 MAJOR foundation model releases: GPT-5.1, Gemini 3, Claude Ops 4.5. These new models are incredibly capable. They’re super smart. They’re also really compute and
OpenAI is declaring Code Red, but they’re boxed in. Literally. ChatGPT and similar products exist in a box that isn’t connected by default to anything. Anthropic wisely has cozied up hard to Microsoft, with MS Office documents as part of their native skills and connectors to everything they can possibly connect to. And Google… well,
Context engineering is data management. That’s anticlimactic, isn’t it? You hear everyone from Satya Nadella (Microsoft CEO) to AI bros hyping “context engineering” as the next big thing. It’s data management. If prompt engineering is building great recipes, context engineering is building great ingredients. Even the most decorated Michelin-starred chef can’t make rotted, spoiled food
If farming automation allowed farmers to compress 4,200 hours of labor into 2 hours, increase yields 10x through loss reduction, and dramatically expand their farms’ production, why aren’t farmers rich? Well… there are a variety of reasons. They don’t own the means of production. The John Deere X9 1100 I mentioned in my last post
Google Workspace Studio (formerly Google Flows) is the agent you’ve been looking for. If you’re a Google Workspace customer, this is the automation system for AI that will make your life easier and more productive. It ties into the rest of the Google Workspace ecosystem, so if you’re not a Workspace customer, it’s unhelpful. But
“When everyone has AI in their toolbox, how does anyone stand out?” This was the question Lee Odden posed to me (and a bunch of other folks) about AI. My answer, expanded: The 3Cs of AI thinking: Creative thinking: whoever has the most, best ideas will win. This means taking your human brain and challenging
The greatest gap in AI today is between GPT and app. There is a moderate learning curve in using foundational generative AI, things like learning how to prompt. This is where a lot of people start their journey, and it’s a great place to start. You can do a lot and get a lot done
All automation sets the price for a commodity. In a recent discussion about whether or not AI-driven content will consume content marketing with Joe Pulizzi, Brian Piper, and others, I pointed out one thing: all automation sets the price for a commodity, what the market is willing to pay. Let’s look back to agriculture. Automation
