Gen AI Insights
Thoughts on Generative AI, product leadership, and enterprise AI transformation
MCP Problems and How Anthropic Skills Aim to Solve Them (2026)
The rise of powerful Large Language Models (LLMs) has transformed AI from simple Q&A systems into intelligent agents capable of executing complex, multi-step workflows—such as booking flights, resolving customer issues, or orchestrating business processes. At the core of this shift is an agent’s ability to interact with real-world systems through tools and APIs. The Model […]
The Ultimate Guide to Context Engineering for AI Agents in 2026
The long-sought potential of autonomous AI agents has been hampered by Large Language Model (LLM) limitations, notably the finite “context window”—the model’s working memory. A persistent issue, even with large windows, is the “lost in the middle” phenomenon, where LLMs forget details in the middle of a context, recalling only the beginning and end. However, […]
AI Trends 2026: A Strategic Guide for Business Executives
As we move further into the decade, the landscape of artificial intelligence is not just evolving; it is undergoing a revolutionary transformation. For business executives and decision-makers, understanding the trajectory of these changes is no longer a matter of competitive advantage but of corporate survival. The year 2026 is poised to be a pivotal moment […]
Beyond the Hype: The Real Truth Behind the 95% Gen AI Failure Rate
A recent MIT report, “The GenAI Divide: State of AI in Business 2025,” sent shockwaves through the tech world with a startling headline: 95% of generative AI projects in enterprises fail to deliver a return on investment. This statistic quickly became fodder for a narrative of disillusionment, with many developers and commentators on platforms like […]
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