In 2012 I started programming the flocking of birds. Each bird follows simple rules: don't collide with your fellows, don't stray too far, align with those near you. Together they produce complex, beautiful, emergent behavior that no one can predict from the top down.1 I spent years working with language as code, and when I started working with LLMs in 2019 I saw that these language machines had a kind of velocity, and that narrative steered them: the directional vector of meaning beneath statements that say something true far beyond their single sentence.2

As Chief Strategist at Vouch.io I turned that into a manual process. I treated the model like a computer. I treated a narrative architecture, an interconnected web of narratives that defines a way of thinking, like a program that installs into it.3 Any AI could be bootstrapped to think like the company: to create content, test ideas, even write code. Instead of defaulting to the average of the internet, the model was already flying in the direction of the company.4

I left in September 2025 to automate the process and built Aswritten.ai. It turns recorded conversations, the course corrections that currently evaporate, into a perspective: an individually owned, versioned data structure that installs into any AI and steers how it thinks.5 Every claim an AI makes from it traces to the human conversation it came from. Have an opinion, and here's why.6 It runs in production today with a paying enterprise customer.7 The LLM becomes a compiler: it takes a narrative architecture and produces a synthetic individual whose every thought projects far further down the paths we set than we could tread alone.8

AI is going to displace an enormous amount of work. We will develop superintelligences able to do the vast majority of human computation and output.9 But nobody asks: how many voices in superintelligence there are going to be?10 The current trajectory is a handful, a monoculture of a few frontier-lab voices with a monopoly on our interactions.11 Or do we end up with some weird crackpot that tells you a story about a deli and gives you a highly opinionated answer?12

The weird crackpot with the deli story is me. In 2024 a cold email got me a first call with a company. Afterward I took a walk and wrote them a strange, highly opinionated story about my sandwich order: the counterman who knew my order, the sandwich passed without a word, the feeling of being recognized. That email rebranded the company and got me hired.13 No one hires someone because they're boring. They hire someone because they have a perspective that is incredibly unique and powerful.14

We can build this on top of the monoculture. The model is hardware; the perspective is the program.15 Hardware centralization may even be necessary: GPUs, safety research. The part that decides how an AI thinks, whose norms it carries, what it recognizes, belongs with the person it represents. Either my synthetic identity is owned by me, carried with my physical and digital self as I encounter systems, or it is another patchwork across corporate networks, forever asking me to prove access. Exportable data is not the same as ownership.16

The moonshot is not an AI for every task. It's an AI for every task that is as different as we are different.17


A note on method: I drafted this post with my AI coworker, working from a perspective: a cited, versioned graph built from months of my recorded conversations. That system is the product. Nearly every sentence above is something I said on a walk, on a call, or in an essay draft. The footnotes below were generated by running this draft through the product's own citation tool, which verified each claim against the graph and returned its provenance. The post is a demo.


Grounding · the record1 / 17 cited