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Every market map, field guide, and close reading in one clear list—newest first.
Smaller models can make AI products faster, easier to run locally, and less expensive to operate. The opportunity depends on matching the model to the task—and measuring the whole system.
02Protocol map · 10 min readAI Agents Are Getting a Protocol Stack: How MCP and A2A Fit TogetherMCP connects agents to tools and context. A2A gives independent agents a way to discover one another, exchange work, and manage long-running tasks. The distinction is becoming an architectural boundary.
03Market map · 10 min readSearch is becoming an answer: The rise of AI-native SEOAs discovery moves from ranked links to generated responses, a new group of companies is rebuilding the machinery of digital visibility.
04Market map · 9 min readThe AI operating layer is moving downmarketWhy the next important business AI companies may be the ones connecting fragmented systems—not building another general-purpose assistant.
05Field guide · 8 min readEnterprise agents have entered their software eraThe hard problem is no longer making an agent look capable. It is defining, testing, governing, and improving one after it reaches production.
06Deep dive · 9 min readThe physical AI race is becoming a data raceHumanoid robotics is moving beyond hardware demonstrations toward a harder question: how can machines learn enough varied experience to work in the real world?