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Essays, profiles, and reading notes on AI products, AI systems, adoption, agents, and company strategy.
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Start with the control layer for agents, context, tools, permissions, and human review.
Series Index AI Adoption That Actually Changes the CompanyUse the index instead of dropping into a middle chapter of the series.
Series Index Seven Powers in the AI EraRead the strategic power series from the table of contents.
AI The AI Builder’s Edge: 23 Patterns Across 264 ProfilesAcross 264 ai & machine learning profiles and 18,726 lessons, 23 patterns recur often enough to matter. They are not universal rules; recurrence indicates breadth within this collection, not agreement across an entire field.
Research Explainers When Do AI Agents Actually Need Blockchains?Jeremy Allaire argues that AI agents need economic infrastructure for payments, identity, and coordination. This explainer separates the functions that genuinely benefit from blockchains from those better handled by conventional systems, clarifying where onchain architecture earns its complexity.
Research Explainers AI Traffic Is Becoming Workflow TrafficOpenRouter's 100 trillion token usage study suggests AI demand is shifting from simple text generation toward reasoning, tools, code, and context-heavy workflows. This explainer maps what that change means for model providers, infrastructure, and the economics of serving AI.
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May Habib, co-founder and CEO of Writer, brings a multi-time founder’s perspective to generative AI, entrepreneurship, and the future of work. Her central question is how leaders should understand AI’s transformative power without losing sight of its reality.
Anton Osika, co-founder and CEO of Lovable, examines product development, company building, and artificial intelligence. His central question reaches beyond tools: how will AI change the way software is created and expand who is able to create it?
Sarah Guo, founder of Conviction and a former General Partner at Greylock, brings an investor’s vantage point to artificial intelligence, company building, and technological change, asking how firms should navigate AI as a defining new frontier.
Alexandr Wang’s focus on vision and strategy raises a foundational operating question: how should a long-range view be translated into coherent choices, priorities, and action without losing sight of the direction that gives those decisions meaning?
Kenneth O. Stanley, an AI researcher known for open-endedness and neuroevolution, challenges conventional goal-setting through the “objective paradox”: rigid pursuit of ambitious targets can obstruct the unexpected discoveries required to reach them in practice.
Demis Hassabis, co-founder and CEO of Google DeepMind and a Nobel laureate in Chemistry, is a leading artificial intelligence voice whose thinking frames a vital question: what ultimate goal should guide AI’s potential and future trajectory?
Nick Cammarata, an OpenAI researcher, former startup founder, and angel investor, explores technology, consciousness, and personal growth. He treats shifts in perception and proactive experimentation as tools for opening new ways of thinking, learning, and being.
Gwern Branwen, an anonymous researcher, writer, and programmer, publishes meticulous, data-driven work on Gwern.net. His focus on AI and empirical scaling laws shows how intellectual honesty and contrarian inquiry can often clarify fast-moving technology.