Problems solved. Autonomously.
Insights
Short, practical writing on what we're learning while shipping AI systems.
The headlines are fixated on AI replacing jobs. The shift that actually matters is quieter and more immediately actionable: AI is moving from chat to action, and the businesses that understand what that means in practice are rebuilding what it costs to run an operation.
EU lawmakers have pushed the high-risk AI compliance deadline back by 16 months. A lot of businesses exhaled. I understand the relief, but the architecture of the regulation is intact, August 2, 2026 is still a live date, and the technology was never the thing that got delayed.
Our new website is live. Here's who we are, what we stand for, and why we build the way we do.
An MVP isn't a cheap version of your product. It's the fastest honest test of whether the product is worth building at all. Get that wrong and it's where the budget quietly disappears.
Observability, safety, cost control, durability. Here's why they're not optional, and what happens when they get bolted on later.
Most conversations about AI start with the technology. The ones that work start with a problem worth solving. Here's the shape of an AI project that actually pays off, and how to tell early whether yours will.
2026 is the year every vendor will sell you an "agent." Forecasts expect around 40% of enterprise apps to embed them, yet fewer than one in four companies has got one into production. Here's the honest version of what they can and can't do for a business your size.
MIT studied roughly 300 AI deployments and found that buying or partnering succeeds about three times as often as building from scratch. Here's how to tell which one your problem actually needs.
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