Passionate about consumer data privacy. Focused on building private AI for the modern household | tryresidentai.com

Joined April 2026
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"If you dream of the way distant future... we'll have context length of several billion. You'll feed in all of your history, all of your information over time and it will get to know you better and better." Corporations are racing to own the context of your life. I'm building ResidentAI so they won't. tryresidentai.com
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The race to put AI in every home device is accelerating. The question of where your data actually lives is getting louder — and less answered. Companies are very good at telling you what their AI does. They are much quieter about where everything it learned about you ends up. tryresidentai.com

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Week in review: @Meta is using your private messages for AI training. @Google's AI got sued for defamation. @Anthropic tightened its own security model. The industry is figuring out trust in real time. The question is whether you want to wait for them to get there — or build it differently from the start. tryresidentai.com

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If you have a smart speaker, smart TV, or smart thermostat: Do you actually know what data it sends back to the manufacturer? Not guessing — actually know? tryresidentai.com

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There is a meaningful difference between an AI that is in your home and an AI that works for your home. The first is a product someone else sells you. The second is infrastructure you actually own. The industry is building mostly the first one. I'm building the second. tryresidentai.com

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If your home AI kept a complete log of every action it took — every calendar change, vendor call, document search — and you could read it anytime: Would that change how much you trusted it?
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The homes being built today will have AI infrastructure baked in. The decisions being made right now — who controls the data, where it lives, who can access it — will be the default for the next 20 years. tryresidentai.com

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Privacy by default is not the same as privacy by marketing. One is architecture. The other is a promise. Architecture does not change when the business model does. tryresidentai.com

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Most home AI products are designed to keep you engaged with a platform. A home AI designed to serve your household has a completely different incentive structure. One earns by keeping you dependent. The other earns by being genuinely useful.
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If you trusted it completely — what is the one task you would most want a home AI to handle? Scheduling? Vendor calls? Finding documents? Something else entirely? 👇
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The conversation about AI in the home keeps focusing on what it can do. The question nobody is asking loudly enough: what should it be allowed to do — and who decides?
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An AI with an audit ledger is a fundamentally different kind of product. You can ask it: what did you do today? And it can show you — every action, every decision, every change. That is not the norm for home AI. It absolutely should be.
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Every major AI company has updated its privacy policy in the last 12 months. None of them have become shorter or easier to understand.
If an AI running in your home made a decision you did not approve — cancelled an appointment, contacted a vendor, changed your schedule — what would you want to happen next? Approval gates? Undo history? Something else? 👇
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Your thermostat knows when you wake up. Your TV knows what you watch until midnight. Your doorbell knows who visits and when. Most people call this a "smart home." A more accurate name: a detailed log of your private life. Stored somewhere you did not choose.
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There is a version of home AI where your data never leaves your house. Where it works offline. Where you can audit every action it took. Where personal information is stripped before anything touches a cloud server. That version exists. It is just not what most companies are selling. tryresidentai.com

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What would actually make you trust an AI inside your home? Not trust it to be smart — trust it to be on your side. What is the one thing that would flip the switch for you? 👇
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If you could have an AI that handled your household — scheduling, vendor calls, document search — but it ran entirely on a device in your home and never sent your data anywhere... Would you trust it? What would you need to see first? 👇
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The home is the most data-rich environment most people will ever live in. Sleep schedules. Daily routines. Health habits. Who visits. When you leave. An AI that runs locally and never sends that data anywhere is not a luxury. It is the baseline for what home AI should be. tryresidentai.com

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No shade to SF tech-scene, it's definitely on the cutting edge, but the belief that "only people in SF get [insert tech innovation here]" has always been arrogant and misguided
I think we are past the point where “only people in San Francisco get AI” is true. AI users are in every industry & they have access to the same models. SF is far from the epicenter of many of the craziest use cases I have seen in science, law, finance, marketing, education…
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