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.
From 50 million users to over 800 million in under three years: a lookback at 2025 in models, hardware, adoption, business use, regulation, and the open web.
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.
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.
Most companies experiment with AI but struggle to reach enterprise-wide impact. The organizational model a company chooses is the main roadblock.
How LLM waterfall prompting classifies domains and how a two-path lookup finds a site's industry and competitors in seconds, from stored data or fresh analysis.
Sites with solid SEO are already set up for AI-driven discovery. The practices that make content findable in search engines carry over to AI platforms.
Advanced AI reasoning frameworks, including Step-Back Prompting, Self-Discover, and Graph-of-Thoughts, and how to apply them to 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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