Artificial Intelligence
You Are Probably Not Training Your AI
Companies keep saying they are training AI on their business. Most of the time, they aren't training anything. They are building a knowledge layer around the model. And OpenAI, Gemini, and Claude approach that problem quite differently.
10 Things I Learned Running One of the World’s Largest Communities of Growth Professionals
Here are ten lessons about designing communities that make valuable participation simple, visible and worthwhile.
MCP-First Apps: When the UI Is No Longer the Product
MCP-first apps redefine software design, moving beyond simple chatbots to empower collaboration between humans and AI agents. This fundamentally shifts how applications expose capabilities, making the traditional UI less central as AI drives core work.
How to Measure AI Search Visibility: A Practical Methodology
AI search visibility claims often lack substance. Discover a practical methodology to consistently measure your AI presence, starting with a fixed query set. This approach cuts through complexity, offering reliable directional insights.
I Don’t Read My Emails Anymore
Overwhelmed by email noise, the author stopped reading their inbox. Discover how they now use an AI routine to cut through the clutter, delivering only crucial messages directly to them. Learn how to reclaim your focus from endless email.
I Don’t Read My Emails Anymore
Built an AI routine that checks who is emailing me, understands the business context, filters the noise, and sends only the messages that deserve my attention to Slack.
Building Community 2.0: Where Humans and AI Grow Together
Traditional online communities were built for a different internet. Community 2.0 brings humans and AI together, turning shared knowledge into action.
MCP-First Apps: When the UI Is No Longer the Product
MCP-first apps change how software is built and used. Discover why the UI is becoming the control plane while AI agents increasingly handle everyday execution.
Visualizing Results: From Markdown Tables to MCP Apps
Accessing AI data is only half the challenge. Learn how to transition from static Markdown tables to rich, interactive MCP Apps for better data visualization.
Visualizing Results: From Markdown Tables to MCP Apps
Accessing AI data is only half the challenge. Learn how to transition from static Markdown tables to rich, interactive MCP Apps for better data visualization.
The War of (Mood) Boards
From physical moodboards pinned on agency walls to AI-powered Mixboards that think with us, creative boards have evolved into the operating system of modern creativity.
The Core Reality and Your Hero Diagram
AI Overviews are stealing clicks. Learn why CTR is the new SEO battleground and how to turn impressions into traffic that actually converts.
30 Articles per Week? Yes, Sure!
Technically, AI makes it possible, but business-wise it only works if you put in serious effort: defining brand voice (finetuned model), embedding knowledge (vectorstore), analyzing competitor structures and intent, and frontloading preparation so AI writes like you, not like a junior copywriter.
JSON Files: What They Are and Why Your AI Video Needs Them
JSON prompts for video are rising because they're clear, modular, scalable, developer-friendly, and perfectly suited for AI's growing multimodal capabilities.
Selecting the AI Approach for Data Analysis
Approaches for data analysis models, clarifying the landscape and revealing how AI can enhance these methodologies to enable smarter decision-making.