From the Studio
Practical ideas on AI, legacy modernization, SaaS engineering, and building software products.
Why Most AI Integrations Fail in Production
Most AI projects work in demos and die in production. The problem is almost never the model. It's everything around it — the data, the integration, the error handling, and the decision about what AI should actually be doing.
What to Look for in an Engineering Delivery Partner (A Guide for Technology Consultants)
If you're a technology consultant, fractional CTO, or digital transformation advisor, the hardest part of your job usually isn't making the right recommendation. It's what happens after — when the client says yes, and now someone has to actually build the thing. Here's a practical checklist for evaluating an engineering delivery partner before you bring anyone into a client relationship you've spent years building.
Why Most Legacy Modernization Projects Fail (And How to Avoid It)
90% of legacy modernization projects go over budget or get abandoned. Here's the pattern we see repeatedly — and what actually works.
The LLM Is the Easy Part
Everyone is obsessed with which model to use. After building AI products in production, I can tell you — the model is the smallest problem you'll face.
We Rewrote It from Scratch. Here's What We Learned.
The rewrite is the most seductive idea in software engineering. It's also one of the most dangerous. We've done it. We've watched others do it. Here's what actually happens.
Want us to build something like this for you?
We help SaaS companies and enterprises ship software faster. Let's talk.
Book a Free Consultation