Foxbox Digital

Folks in MPLS - join us! Our 2nd Sandbox MPLS is next week at Cloud 1941 Social Club. ✈️ 🍹 We meet to untangle the friction of building AI healthcare products. We'll tackle issues like where AI creates value, privacy, governance, and user adoption. No sales pitches. No AI notetakers. Just candid, in-person conversation. Click below for more info, DM me with any questions. https://luma.com/08et3ka7

What an amazing time Elliott Torres and I had at the Medical Alley Annual Celebration! The main presenter, National Geographic photographer, David McLain, presented on health equity and reminded us to look beyond clinical data and design healthcare technology with deeper human empathy. #MedicalAlley #HealthcareInnovation #HealthEquity

Excited to share that Foxbox Digital is now a listed partner in the Medical Alley Partner Directory. Medical Alley is one of the most respected healthcare and medtech ecosystems in the country, and they're selective about who gets listed. The directory includes names like Abbott, Baxter, Boston Scientific, GE Healthcare, and Deloitte. Being alongside organizations of that caliber means a great deal to us. There's a lot of exciting work being done in healthcare right now, and we're looking forward to being a more visible part of it. If you're building something in this space and want to talk, our door is open. https://lnkd.in/ep48Bnf2

Organizations often claim they are AI ready because they have run pilots, licensed a few tools, or added AI features to an existing product. AI-native readiness is asking something different. It measures whether your organization is structurally prepared to build products where AI is central to how the system works, how it evolves, and how it creates value. This is not about adding a chatbot. It is about designing systems, teams, and governance for continuous model-driven evolution. Read the link in the comments below for our take on why it’s a destination worth chasing and what it means for your product roadmap. #ainative #aistrategy #productdevelopment

Great job Foxbox Digital team in helping launch another client on successful journey!

Don't Make Me Think by Steve Krug is a UX book that has guided my product development decisions for almost 20 years. It also turns out to be the strongest argument for why AI needs more friction.                                                                                         Krug's thesis is that every unnecessary decision is cognitive waste. Eliminate it. I built patient portals and provider workflows around this principle. It worked.                                                        Then I started using LLMs every day and the principle broke. Not because the interface has friction but because it has none. Claude's output is maximally confident, complete, and well-structured. Research calls this processing fluency. We trust things that are easy to process. A Harvard study confirmed it: people over-relied on AI suggestions even when those suggestions were wrong. Adding explanations made it worse. The only thing that worked was introducing friction before users could accept the output. The hardest finding though was that the friction-heavy designs produced the best outcomes yet received the worst user ratings. That's the tension. Users want frictionless. Frictionless produces worse decisions. Krug was designing against bad interfaces. He never had to design for a tool that could be wrong with complete confidence.                                                        https://lnkd.in/gtUS35Kh     #ProductManagement #AI #UX #ProductStrategy

How do you scale an AI-powered health app into a multi-partner platform—without starting from scratch every time? With a shared codebase via Kotlin Multiplatform, relentless QA testing, and a team that treats your product like their own. We’re proud to share a look into recent efforts to help K Health shape the future of AI-driven, personalized healthcare. Much to be proud of, kudos to all involved. Special thanks (Zachary Siegel, Antonio Arista, Manuel Mariñez, Elliott Torres, Rob Volk, Allon Bloch and everyone at K Health for your continued trust and collaboration. 🙏 👉 Full case study at the link below.

Most QA teams want faster test automation but don’t have hours to hand-code every selector or flow. In this breakdown, our very own Manuel Mariñez demonstrates how Claude fits into a real test case and where the human/AI handoff actually adds value rather than chaos. If you’re trying to scale test coverage without burning out your team, check out the link in the comments below. #claude #automatedQAtesting #AInative

AI-native development is accelerating delivery cycles. But here’s the catch: Faster isn’t always better without context, testing, or cohesion. Engineering leaders can’t mistake velocity for progress. Code that’s 80% done in a day might take weeks to stabilize in production. As AI tools grow more powerful, there’s a growing premium on: 👉 Clear architectural guidelines ⚙️ Automated test coverage 🔎 Strong code review culture The faster we go, the more we need guardrails. Thoughts? Are your processes keeping up with your tools? #ainativedevelopment #claudecode #automatedQA #productdevelopment