
AI as it actually lands inside organizations. Not models and hype -- systems, governance, workforce behavior, and economic outcomes. Written for executives making decisions while the systems are still being built.
| Platform | Pricing | Only free issues | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 175 | Founded | a year ago | Last Issue | 2 months ago |
| Active | |||||

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TL;DR: A model got pulled and came back. Another one launched behind a government guest list. A lab CEO offered Washington a slice of his company and a rival lab said no. A rocket company made a man richer than most nations i...
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TL;DR: Autonomous agents are not software tools. They make decisions, take actions, consume resources, produce outcomes, and can fail in ways that create organizational liability. Organizations that govern agents as software...
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TL;DR: Mid-2024 governance assumed humans initiated AI interactions. Multi-agent systems, MCP tool-use frameworks, and autonomous orchestration broke that assumption. When Agent A calls Agent B, authority does not transfer au...
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TL;DR: Audit-native architecture designs compliance evidence generation into systems from the start, not as an afterthought when regulators ask questions. Traditional approaches assemble audit trails after incidents by correl...
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TL;DR: An agent is not a model. It is a system built around a model. That system has six components: a language model at the center, memory so it retains context, tools so it can act in the world, an orchestration layer that...
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The writers behind this newsletter.
Dad, chronic technologist, world traveler, and an experimental engineer currently navigating AI as a de-frictioning agent.
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