Insights
What we learn while we ship, written in the open.
We are a small team that builds every day, so the writing runs behind the work. This is an honest index of what we plan to cover, and where to find the real proof right now, not a wall of invented articles.
Topics we write about
Four themes that come up on every project we take on. Posts are in progress. If any of these is live for your team today, reach out and we will talk it through directly.
AI in products
Where a model actually earns its place, and where it just adds cost and latency. How we decide what to automate, how we keep humans in the loop, and how we measure a feature by work removed rather than demos given.
Ask us about this ↗Shipping MVPs
Getting a real first version into users' hands in weeks: what to cut, what to keep, and how design and engineering working as one team removes the handoff that usually slows a launch down.
Ask us about this ↗Scaling
What changes between the first user and the millionth. Data models that hold up, costs that stay predictable, and the second-year decisions that are easy to defer and expensive to get wrong.
Ask us about this ↗Design systems
Interfaces that stay coherent as a product grows: tokens and components instead of one-off screens, so the tenth feature looks like it belongs with the first and the team ships faster over time.
Ask us about this ↗
Until the posts land, read the work.
The clearest thing we can point you to today is what we have already shipped. The case studies cover real partners and our own products, with the numbers we can stand behind.
- Case studies. How we build for partners like PushOwl and GladMinds, and for our own SaaS.
- Products. SellEzzy, EzzyBooks, EzzyService, and PingPilot, all live and run on the same craft.
- Capabilities. Product engineering, applied AI, design, and technology partnership in one team.
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