Notes on AI strategy, AI-era discovery, workflow transformation, and the shifts reshaping how organizations adopt and deploy AI. Analysis, presentations, and data visualizations, most drawn from hands-on work inside enterprise marketing and communications.
As the constraints around AI arrive (budget pressure, usage caps, throttling), the response either protects the adoption that made it valuable or quietly drains it. A two-sided look at which usage is worth defending, and what employees and leaders can each do when the limits land.
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.
A practical glossary of AI terms organized by topic, from core concepts and prompting to model architecture and training.
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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