Notes on AI strategy, discovery, workflow transformation, and how organizations adopt and deploy AI. Most of it comes from work inside enterprise marketing and communications.
When AI's constraints arrive, how a company responds either protects the adoption that made it valuable or drains it. A two-sided look at which usage is worth defending, for employees and leaders alike.
Where AI platforms compete next, how enterprises are adopting AI tools, and what the open web tension means for content creators and businesses in 2026.
From 50 million users to over 800 million in under three years, 2025 was the year AI went from product to infrastructure. A data-driven lookback at the year's biggest shifts in models, hardware, adoption, business use, regulation, and the open web.
Most companies experiment with AI but struggle to achieve enterprise-wide impact. The roadblock isn't the technology, it's the organizational model you choose.
Building a domain classification system with LLM waterfall prompting, then creating a clever dual-path approach that discovers a website's industry and competitors in seconds, whether it's in our existing dataset or being analyzed for the first time.
If you're already doing SEO well, you're better positioned for AI-driven discovery than you might think. The practices that make content discoverable and valuable in search engines translate directly to AI platforms and features.
Learn advanced AI reasoning frameworks including Step-Back Prompting, Self-Discover, Graph-of-Thoughts, and other advanced techniques that make frontier models 2-3× more effective on complex problems.
Understanding how search engines and AI models discover, process, and serve content reveals why the same optimization principles work across both channels.
A simple framework for writing effective AI prompts. Learn to structure requests using Goal, Context, Source, and Expectations for better results.
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