· Insights

Thinking on AI systems
and how they get built.

Practical writing on agentic AI, automation design, and what actually works in production.

What is a computer-use agent, and why does it matter?

Most AI automation requires an API. Computer-use agents don't. They operate software the way a trained user would, which opens up a completely different set of problems you can solve.

20 May 2026Read

Strategy5 min read

Why most AI projects fail before they start

The failure mode isn't bad technology. It's starting with a solution and working backward to a problem. A few questions asked early save months of work later.

12 May 2026

Voice AI7 min read

Voice agents: what actually works in production

Most voice agent demos look good. Most voice agent deployments disappoint. The gap is almost always in the conversation design, not the underlying technology.

5 May 2026

Operations5 min read

The case for building internal tools for your own processes

Tecvity built Atlas because the setup overhead for every client engagement was the same. If a process is worth doing repeatedly, it's worth building infrastructure for.

28 April 2026

Automation6 min read

Intelligent pipelines vs RPA: what's actually different

RPA automates clicks. Intelligent pipelines automate judgment. The distinction matters more than most teams realise when they're scoping what to build.