Field notes from four reinventions — a $200M exit, two unicorns, and building AI-native. Published as I learn.
AI agent distribution is the new front door: when an agent picks for the buyer, the win is being what it reaches for, not what a human clicks or searches.
The verification layer is the next AI platform: as agents produce faster than humans can check, machine verification of AI output becomes the product.
A one-person company scales only as far as its incompressible core: the trust, judgment, and presence AI cannot automate. Here is where solo breaks.
AI agent sprawl is a non-human identity crisis. Every agent you deploy is a worker you never offboard. Here is how to govern your ghost workforce.
The read-write inversion: AI made producing nearly free while human review stays fixed, so judgment is the new bottleneck. A founder's framework for the shift.
AI vendor lock-in is a compound cost that hits every layer of your stack. Here is how switching costs accrue, why they multiply, and how founders stay portable.
AI agent orchestration has a hard ceiling. You can spawn unlimited agents, but your speed is capped by the work only you can do. Here is the math and the fix.
The founder operating system for the AI age is a control system, not a task list. Here are the kernel, scheduler, and governor a one-person company runs on.
Dark funnel distribution means most demand now arrives unattributed. Here is how founders run growth when AI search kills the click and the dashboard goes dark.
A bigger context window is not more usable context. The usable window, the three taxes of a full window, and the context engineering fix every founder needs.
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