INSIGHTS
Observations on AI systems, product strategy, and the operational patterns that separate working infrastructure from abandoned experiments.
We Shipped WebMCP. Here Is What That Means.
Chrome's new agent-tools API, the implementation we put on 38shift, and the strategic case for instrumenting the agent-readable web first.
Inside a Signal-Driven Growth Engine
A field report on GTM Engineering: signals, agents, and why outbound stopped being a headcount problem.
How 38shift Runs on AI Agents: Our Internal Stack
What we learned by automating core internal operations with the same kinds of systems we build for clients.
Inside the Digital Maturity Index of Kosovo's Banking Sector
A summary of the Digital Maturity Index benchmark, which scores Kosovo's commercial banks across digital and AI capability and groups the sector into three clear tiers.
The Governance Layer Every AI Product Needs
As soon as AI moves beyond experimentation, governance stops being a legal afterthought and becomes part of the product itself.
Building AI Systems Companies Can Run
Most AI initiatives fail at the transition from demo to daily operations. The difference is almost never model quality alone.
The Silent Killer of Velocity: Over-Engineering for Scale on Day One
Startups burn through runway by building Kubernetes clusters for 10 users. Here is a pragmatic approach to scaling tech infrastructure.