Most UX and AI discussions focus on making AI outputs explainable and helping users understand decisions. While this is crucial, there is another, often overlooked, opportunity: AI improving the experience itself through Adaptive UIs. If you’ve been following our...
Voice AI is one of the fastest-growing areas in artificial intelligence, with rapid advancements in speech recognition, synthesis, and agentic interactions. As noted in a16z’s AI Voice Update 2025, voice-first interfaces are becoming an integral part of AI-driven...
An interview with Jose Ignacio Orlando, by PM Damian Calderon. Introduction In AI product development, the focus often centers around Proof of Concepts (POCs). POCs are essential for validating the feasibility of AI solutions, particularly in high-risk projects where...
Over the past year, we ran four hackathons. They sparked great ideas, but we found the format had limits. It became repetitive, participation declined, and the structure didn’t always support how innovation truly happens. They also got ambitious, requesting teams to...
AI in healthcare is moving fast, especially with the rise of LLM-based agents and workflows. Whether your organization has already implemented AI or is just starting to explore its potential, this is the perfect time to validate new ideas through a focused Proof of...
For years, discussions around aging have focused on healthcare, retirement, and independence—but what if the biggest challenge ahead isn’t physical health, but loneliness? Social isolation isn’t just about feeling alone; it’s increasingly linked to cognitive decline,...
The Future of Settings Interfaces For decades, settings interfaces have remained largely static, even as design and technology have advanced. They often feel overwhelming, unintuitive, and frustrating to navigate. With the rise of LLM-based agents, however, we now...
The integration of LLM-Based AI agents into healthcare has the potential to revolutionize workflows and improve patient outcomes. However, these opportunities come with a critical challenge: ensuring compliance with strict regulations like HIPAA, while also...
AI’s promise often leads us down a familiar path: automating entire processes in the hope of increased efficiency. But as many discover, this approach presents significant challenges. Fully automating complex tasks is not only hard to implement correctly but also...
Health tech startups often struggle to make a lasting impact because they fail to align their innovations with real-world problems and user needs. This misalignment is one of the key reasons so many startups fall into the infamous Health Tech Valley of Death where...
In the context of our Health Tech Guild, we are reviewing the main participants we design for. We consider this crucial to creating more human-centered products, and we’ve started with possibly the most relevant actor: The Clinician. Clinicians are central figures in...
In part 1 of our series on AI in the Making, we explored the importance of early-stage prototyping in validating how AI interacts with users. We discussed adopting a fail-fast approach, the necessity of user validation, and methods like Wizard of Oz to simulate AI...
Just like with any product, validating early how the AI will interact with users is crucial. Prototyping allows for this, helping product shapers conduct rapid testing of assumptions, uncover flaws, and iterate on solutions before committing to costly development....
The latest AI revolution, which includes Generative AI and Large Language Models (LLMs) presents an extraordinary opportunity to address bottlenecks in health tech. These technologies offer the potential to personalize and summarize information, streamline operations,...
https://youtu.be/UEGacrIBC2s Introduction Nacho: Hello, everyone. Welcome to the next episode of Chain of Thoughts. Here we are, Nacho, Vico and Calde, as in the last ones. I hope that they can smile a little bit, right? Because they are kind of frightened. Okay, now...
Since I joined Arionkoder in 2021, we have been working on products that needed different types of AI features. As I mentioned in a previous talk, we started by creating wrapper apps that connect to AI Models, we got frustrated about how siloed everything was, and...
The pharmaceutical industry is on the brink of a major leap forward, with technology paving the way to tackle long-standing challenges more effectively. From the cumbersome clinical trial recruitment processes to the lack of tailored patient education and support, we...
Creating impactful AI features in healthcare requires thoughtful integration, user-centric design, and a clear vision of how AI can empower users through automation and augmentation. In several health tech projects we've been working on lately, we've observed a keen...
José Ignacio Orlando (Nacho): Well, welcome to today's episode of Chain of Thoughts. This is going to be a pilot, let's say. So let's see how it goes. Well, you have already heard the intro. You know that the idea of this podcast is to connect our thoughts, connect...
Artificial Intelligence is no longer just a futuristic concept, but a practical tool reshaping industries. Throughout 2023, we’ve seen efforts to integrate AI into all kinds of projects, and this trend is set to grow in 2024. However, we have already seen many...
Rapid prototyping is a process that enables product designers to quickly create and test multiple versions of a product to refine and improve it. This process can be particularly useful in the digital health sector, where there is a growing need for innovative...
This piece is part 2 of a series about Product Design for the Healthcare Sector. Discover part one here and stay tuned for our next article! The challenges of the Healthcare Tech Sector from a Startup perspective As we mentioned in our previous article, the healthcare...
At Arionkoder we have a genuine interest in healthcare technology because of its huge potential to impact humanity's wellbeing. Yet, there are plenty of failed digital products in the healthcare industry. That’s in part because healthcare is a vast problem space, with...