What we’re talking about.
A collection of ideas, observations, and reflections from across our channels. Dive into how we see intelligence, technology, and the problems worth solving.
Recent Articles
The Data Platform Your Team Can Actually Steer
We build systems for others, and for ourselves, to the same standard. Wulin Studio is the second of three that came out of that practice. Data platforms tend to accumulate distance over time. Between what the system does and what the team understands about it. Between who built the model and who needs to change it. The more domains a business runs across, the wider that gap tends to get. Wulin Studio was built around a different assumption: that the people who run the operation should be able to read, steer, and own the model themselves. It grew out of nearly two decades of data platform work: operational systems, coordination platforms, multi-tenant workflows.
Our HR System Beyond Borders, That We Built Because We Had To
A national holiday in Paris is a normal working day in Shanghai. Vancouver's overtime rules don't apply in Tokyo. Run five offices across three continents, and you either force every location into rules that don't fit, or maintain a patchwork of manual exceptions and tools. So we built our own system: ARIA, our Attendances, Records & Insights App, a replacement for the paid HR software we used to run on. Time tracking, leave, the team directory, and approvals, structured around how our five offices actually work, not a config built for someone else's company. It took a month to build and deploy, and it hasn't stopped evolving since. The full story is right here, with everything you need to understand what it covers, how we built it and what we've learned.
The WeChat business card layer was missing.
In China, business connections live inside WeChat. Contacts, business cards, and follow-ups are all scattered across chat threads, with no organized system underneath. We built Umee to solve this challenge for ourselves first. From there, the effort grew into something bigger. The first tool supports the moment you meet. You can capture a new contact by voice, scan a business card, or add details manually. In the same flow, at the same speed, you can share your own e-card too. It’s already live and free to use. And this is just the beginning.
Institutional Knowledge, Available to Every Decision
Exploration is not something we reserve for the work we do with partners. We apply the same curiosity inward, and Brainz is the third of three systems that came out of that. A firm that has worked together for years knows more than any one person in it. The question is whether that knowledge is available when it is needed, or locked inside the heads of the people who happen to be in the room. We spent time thinking about what it would actually take to make institutional knowledge usable at the moment of a decision. Not documentation that no one reads. Not policy that stops being accurate the moment the firm changes. Something that captures what the firm actually does, alongside the conditions under which it deviates. The result is Brainz.
The Software Delivery Agent System Our Engineers Work Alongside
For years, we have been asking ourselves the same questions we ask for others: "where does intelligence earn its place, and what does it take to integrate it without losing accountability." AIDA is what that looks like in our own engineering practice. There is a steady stream of engineering work where the difficulty is bandwidth with precision, not capability. The question is not whether you have a way to handle it, but whether your most experienced people are spending hours on the same patterned tickets again and again. AIDA is the agent system our engineers work alongside every day. A four-role team takes a ticket from User Request to Merge Request while our engineers focus on the work that actually requires their judgment. The AI does not get to be the judge of its own output.
Medium
The Prompt is the New Pixel
When working on client projects, I keep running into the same old trio of trouble: pressing timelines, tight budgets, and preventable rework caused by communication gaps. The traditional flow (Figma ↦ Slide deck ↦ Presentation) often feels like moving through molasses — slow to iterate, inefficient, and prone to misunderstandings...
Medium
Why the Human Touch Still Matters in the Age of AI
In my free time, I create emotional, abstract artworks — visual responses to feelings too complex or quiet for words. It’s not just a hobby. It’s how I stay in touch with something I fear we’re starting to overlook: the human instinct to feel, interpret, and express meaning beyond efficiency...
🚀 Building Trust in AI: Why It Matters
AI is only as effective as the trust users place in it. At #Ekohe, we prioritize user research to ensure AI-driven insights are transparent, explainable, and reliable—especially in high-stakes fields like healthcare and industrial operations. In this video, Our Global Design Director John Bondoc shares how we make AI understandable for technical users, ensuring ethical and responsible deployment...