Something is going to go wrong with AI. Not in a science fiction way — not Skynet, not a robot uprising. In a quiet, bureaucratic, devastating way. An algorithm will deny someone healthcare they needed. A hiring system will filter out an entire demographic without anyone noticing. An AI will make a consequential decision that nobody can explain, and when the harm surfaces, the answer will be: we don't know why it happened. We have no record. We can't trace it.

That moment is coming. Probably soon. And when it does, people will ask where the accountability was.

I've been thinking about this for a long time. Not because I'm a pessimist — I'm genuinely excited about what AI can do. But excitement without accountability is how you get disasters. We learned this with social media. We learned it with financial derivatives. We learn it every time a powerful technology moves faster than the governance around it.

The pattern is consistent: the technology arrives, the optimists win the argument, the infrastructure gets built on a foundation of trust and goodwill, and then something breaks. And when it breaks, everyone asks why nobody built the guardrails first.

The honest answer is usually: somebody tried. They just weren't loud enough, or well-funded enough, or early enough to matter.

I'm trying to be early enough to matter.

What I'm building is an audit layer for AI systems — infrastructure that creates a verifiable record of how AI makes decisions, what data it used, what confidence it had, and what the outcome was. Not to slow AI down. Not because I think AI is inherently dangerous. But because consequential decisions deserve a paper trail, and right now most AI systems don't have one.

This isn't a new idea in principle. Medicine has it. Aviation has it. Finance has it. Every industry where decisions affect human lives has developed, over time, some version of accountability infrastructure. AI hasn't yet — not because it's impossible, but because it's early and accountability is expensive and nobody has demanded it loudly enough.

That's changing. Regulation is coming. Liability is coming. The enterprises deploying AI in healthcare, finance, hiring, and criminal justice are starting to realize that "we trusted the model" is not a legal defense.

The blow-up will accelerate that realization. I'd rather the infrastructure exist before the blow-up than be scrambled together after it.

What keeps me up at night isn't whether this matters. It clearly matters. What keeps me up is whether the people who build it will be the ones who actually believe in it, or whether it'll be captured by the same forces that made the problem in the first place — companies with more money than ethics, building compliance theater instead of real accountability.

I think about Eduardo Saverin getting diluted out of Facebook. I think about the Tyrell Corporation. I think about every moment in history where the people who understood the stakes weren't the ones who got to build the answer.

I'm building this because I understand the stakes. And because someone has to.

The blow-up is coming. I'd like us to be ready.