Topic
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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FAPO uses Claude Code to optimize multi-step LLM pipelines by inspecting intermediate failures, trying prompt fixes first, and changing the workflow only when evidence points to a structural bottleneck. The result is a practical diagnostic loop for builders.
AI-native startups are smaller, flatter, more technical, and more valuable per employee because AI is embedded in the product, not merely internal workflows. The analysis connects organizational design, technical founder density, and valuation economics.
Artificial intelligence does not bring artificial intelligence; it brings cheap prediction. Prediction is defined practically as the process of filling in missing information, whether that information pertains to the past, the present, or the future.
A detailed scenario about agents, automated AI research, model misalignment, geopolitical competition, and the choice between racing and slowing down. Its value lies in testing assumptions about timelines, coordination, and control rather than treating the scenario as destiny.
A study of ChatDev traces finds that agentic coding systems spend most tokens on review and repeated context passing, not initial code generation. The finding shifts optimization toward handoffs, critique loops, and context efficiency.
A Perplexity field study compares conversational search with autonomous agent execution and finds large time savings, lower dissatisfaction, and broader task scope. The comparison shows why autonomy changes both the economics and ambition of knowledge work.
A consumer research paper finds that LLMs can match human purchase-intent surveys when they answer in free text before being mapped back to Likert ratings. The result favors better survey design over treating synthetic respondents as wholesale human replacements.
A DeepMind report argues that human-level AGI may be followed by several pathways toward superintelligence, each constrained by data, compute, embodiment, and coordination bottlenecks. It reframes AGI as an intermediate capability threshold rather than a stable endpoint.