Articles
What I’ve Learned Building on the Web
I’ve been on the web since the early days, and this archive reflects the whole ride. The current work: AI systems, SEO, and WordPress at scale — lessons from what I’ve actually shipped, not theory from the sidelines. The earlier chapters: building e-commerce stores, and a year spent writing about meditation. And woven through it all, the Library of Laughs — the funny stories and jokes that, if I’m honest, out-draw everything else here.
Latest Articles
My Actual AI Stack
I maintain a directory of 139 AI tools in my knowledge base. The AI stack I actually use every day is six tools deep. Here's what survived contact with real work - and the simple rule that decides what gets in.
What Richard Pryor Knew About Pain
I've been trying to write funny on purpose, and it's harder than it looks. So I went back to the man who did it better than anyone - Richard Pryor - to figure out what he was actually doing. It wasn't jokes. It was accounting.
How to Give a Local LLM Web Access with MCP (From Someone Who Builds MCP Servers)
MCP is how you give a model hands. I build MCP servers for a production system - here's the protocol explained through a project you can run at home: a local model that can search the web.
The Best Local LLMs in 2026 (and the Honest Reason I Still Run Cloud)
I have Ollama running on an Ubuntu home server. For real work, I still reach for cloud. That's the most useful thing I can tell you about local LLMs — here's why, and how to choose if you go local anyway.
The 4 Levels of the AI Development Hierarchy
Stop jumping to expensive fine-tuning. Master the 4-level AI development hierarchy—Prompt, RAG, Fine-Tune, Hybrid—to build smarter, more efficient AI applications.
Content Clustering for the Agentic Era: Building Semantic Authority in 2026
Content clustering in 2026 isn't just about organizing blog posts—it's about building a machine-readable knowledge base that AI agents trust. This definitive guide shows you how to implement a modern content clustering strategy that establishes semantic authority and ensures your brand gets cited in the agentic era.
From SEO Tool to Intelligence Engine: A Strategic Guide to SEMrush
Go beyond keywords. Learn how to transform SEMrush into a strategic intelligence engine that drives your entire digital marketing strategy and builds a real competitive moat.
What is SEO in 2025? From Keywords to AI Answers
93% of online experiences begin with a search engine. But in 2025, that engine might be an AI. Here is your guide to the new landscape of SEO.
Introducing My Knowledge Base: The Strategic Intelligence Engine
My Knowledge Base serves as a Strategic Intelligence Engine, transforming scattered business data into actionable insights. This living system captures, organizes, and retrieves critical information across multiple ventures, solving information overload through structured pillars: CORE foundations, AI automation, SEO growth strategies, and proven tools for sustainable business operations.
Generative Engine Optimization: How to Win in the Age of AI Answers
The world of SEO is changing faster than ever. With the rise of AI Overviews and conversational search, simply ranking #1 is no longer the ultimate goal. The new frontier is Generative Engine Optimization (GEO) - the practice of making your content so authoritative, structured, and trustworthy that AI models choose it as a primary source for generating answers.
10 Practical Ways to Use AI for SEO and Work Smarter – Not Harder
AI isn't just for writing copy. Discover 10 strategic ways to use Artificial Intelligence to automate SEO tasks, from schema generation to gap analysis.
Building a Robust AI Strategy That Delivers Real Business Value
Strategic Intelligence Engine creates the Knowledge Core - a living, intelligent blueprint that ensures AI initiatives connect directly to your growth engine, not just individual projects. Use the Strategic Intelligence Engine and Knowledge Core to create a living, intelligent link between strategy and AI execution.