What we're learning about AI, voice, engineering, and shipping software that lasts.
What it actually takes to build voice agents that handle real calls end to end — latency budgets, turn-taking, and graceful failure.
Evaluation, guardrails and observability are what separate an LLM demo from a product you can actually operate.
One team owning product, design, AI and infrastructure ships faster and breaks less. Here is how we structure it.
A practical framework for deciding which calls to automate first — and how to prove the impact.
How we keep a fast-moving product visually coherent with primitives, tokens and ruthless consistency.
Reliability is a design constraint, not a phase. The practices we bake in before the first user arrives.