I build AI systems + products for health & wellness brands / creators. Including myself. Miami + remote.

Miami, FL
I think AI makes building a customer app worth a closer look. My hesitation with buying: some vendors charge more as your brand's revenue grows, even when you're not getting more value from their software.
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I tried OpenStrap to keep using my old Whoop band without renewing the subscription. A few bugs and a day’s wait later, I got a recovery score. Setup took patience, but I’m glad I can keep using the hardware.
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I think jiu-jitsu gyms are relatively AI-proof. AI can't do the physical practice for you, and it can't replace walking into a gym where you know people, see friends and train together. I need that after a day of working with AI.
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I'd love an avatar that reflects how I spend my time online. Hours of scrolling and rage posting would leave a visible mark. I'm curious whether seeing my “digital fitness” would give me more reason to change those habits.
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I'd be reluctant to send every sensitive health question to a big AI provider. Local models can process those questions on my own computer without sending them to a cloud service. That's a reason I want local AI to get easier to use.
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I'd like a meal and workout log I don't have to fill out myself. Photo-based macro estimates are a start. I'm imagining wearable and gym cameras logging food, sets, reps, and weights in the background. Effort would be harder to estimate.
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I like the idea of a training app that uses WHOOP data to suggest a lighter workout after two hard days. The condition: those AI adjustments need to follow the coach's programming philosophy. Keep the expertise, and let the plan adapt to the athlete.
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I wouldn't assume an AI profile gets better just because it remembers more. If it stores both “I love watermelon” and “I hate watermelon,” it needs a rule for which preference to keep. Memory needs maintenance, not just storage.
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me everytime claude or chatgpt mishears shadcn
Made with AI
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I asked AI to analyze my Whoop sleep history. One pattern it flagged: I stay up late, then overcompensate by going to bed much earlier the next night. I haven't tested changes yet, but that gives me a specific habit to look at beyond my nightly sleep score.
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I’ve had clients send AI-generated app specs they haven’t read. If I just said yes, they could pay for something they don’t want. “Slop grenade” is a good name for it: generate a huge document and leave someone else to clean it up.
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If I ran a subscription brand, I’d look at making cancellations and order checks easier for AI agents. An assistant could hunt through the customer portal, but I’m curious about giving it a direct workflow for those common requests.
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posting and ghosting and loving it
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I talk decisions through with AI and give it a specific job: help me make a committed decision so I can act. This video series came out of that process. Filming every day is one way I'm following through on my commitment to General Development.
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I'd like to give Instacart's Clementine my order history and say: learn my tastes, suggest healthier meals, and let me commit to weekly groceries for a month. I don't know if it can do that. It's what I'd want, provided I know I'll be home for deliveries.
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If I were running a supplement brand, I'd start by connecting Shopify and subscription data to AI so I could ask: “How many new subscribers did we acquire in September, and from which channels?” That's the access I'd want first.
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I talked with my PT about using AI to draft exercise follow-ups from our sessions: sets, reps, frequency, and videos. He'd still review the plan. It's a workflow we're discussing, aimed at reducing his end-of-day sorting and sending.
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If I ran a health brand, I'd stick to the major AI platforms. A niche tool may have the feature I need today, but I'd be wary of tying my workflows to it when a major could add that feature and leave me with a painful move.
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I'd give AI an internal brand guide you own and maintain. I prefer Markdown in a GitHub repo: somewhere to keep writing guidelines and marketing history, then update the reference when the output misses.
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