A model update you did not approve can break your agents overnight. No rollback. No trace. No warning. You will find out from a customer, or from a number in a report that
How do I know when an AI workload actually needs an iterative agentic solution or single-shot ? When is the slower, costlier system worth it, and when am I just paying for paranoia? This blog post tries to answer these questions.
Head-to-head benchmark comparing single-shot and iterative RAG on NCUA compliance queries. Real latency, cost, and quality data using Claude Sonnet 4.6. Agentic RAG wins 8 of 10, at 3.4× the cost.
We deliberately chose voice over chat for our system design training tool — knowing it's harder to build and harder to use. Here's the technical reasoning, the tradeoffs we accepted, and the bet we're making.
Real-Time AI Voice Agents Are a Systems Problem — Not a Model Problem
There’s a subtle moment you’ve probably experienced. You ask a voice assistant something. It responds, but half a second
