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A person who works with AI to produce quality, scalable output that helps humans or other agents get something done.
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Provenance is knowing who wrote what, when, based on what input, and whether it is authoritative.
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Shared state is the canonical surface where humans and agents both read and write the same plan, tasks, drafts, and decisions.
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AI-powered distribution is the collapse of every promotion channel into something one builder can run.
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The agent graduation path is the four-step progression every task takes: manual, co-piloted, system-to-build, autonomous.
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An agent context protocol is the structured contract that lets one agent or tool hand context to another agent without a human...
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The Builder Weekly
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Foundation content

Foundation content on AI building, AI economics, and trust in AI systems. Each article answers a canonical question and serves as a reference point for related weeklies, monthlies, and tutorials.

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  • How do AI-native products make money?

    The business models that work for AI-native products are different from traditional SaaS. Per-seat breaks down. Usage-based, consumable credits, marketplace fees, and content monetization dominate.

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  • The economics of AI-native companies

    AI compressed what required 20+ people and $5M into what 2-3 people can build in weeks. This is not a cost reduction. It is a structural change in what is economically viable.

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  • What does an AI-native company look like?

    An AI-native company has a different org chart. Humans do strategy, taste, verification, and relationships. Agents do code, content, operations, and monitoring. The ratio of humans to agents is inverted.

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  • What is agentic debt?

    Agentic debt is the AI-era equivalent of technical debt. It is the gap between what your agents produce and what you have verified they produce correctly. It accumulates silently and compounds fast.

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  • What is the "agent as customer" thesis?

    The agent-as-customer thesis is the observation that products are increasingly evaluated, chosen, and used by AI agents rather than humans. The buyer is still human. The user is an agent.

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