In 2024, everyone was amazed that an AI could write an essay or a basic script. By 2026, that amazement has turned into a massive pile of AI-generated trash. We are currently drowning in mediocre, generic content produced by general-purpose LLMs. The result? The market value of 'generic intelligence' has dropped to zero. The Solitary Observer notes that the only thing humans are still willing to pay for is 'Contextual Intelligence'. Context is the specific, un-googleable history of your business, your niche, and your personal experiments. A generalist AI doesn't know that your best customers are plumbing contractors in the Midwest who hate receiving emails on Mondays. It doesn't know the specific technical debt that makes your legacy database prone to crashing. When you use a generic AI, you are getting a generic outcome. To win in 2026, you must build 'Domain Agents'—AI systems that are deeply integrated into your private data and fine-tuned on your specific business logic. Reflection: We spent years centralizing our data into 'Moats' to protect it from competitors. But now, those moats are being bridged by AI. The only remaining defense is the 'Context Wall'. If an AI hasn't seen the specific sequence of failures and successes that built your business, it cannot replicate your results. This makes your 'Raw Logs' and 'Daily Notes' more valuable than your final products. They are the training data for the agents that will actually run your company. Strategic Insight: Stop chasing the latest general-purpose model. Instead, focus on 'Data Hygiene'. Build a pipeline that captures every decision, every customer interaction, and every failed experiment into a structured, searchable format. Use RAG (Retrieval-Augmented Generation) to feed this context into your AI workflows. In 2026, the entrepreneur who has the best-documented context will have the most effective AI workforce. Information is power, but context is the lever.