A short argument for narrower agent UIs and the experiments that got us here.
The easiest way to make an AI product feel magical is to show every intermediate token as it thinks. We did that at first. Then users started tuning to noise instead of outcomes.
TaskHive now hides chain-of-thought and exposes only the plan, checkpoints, and final actions. The shift improved trust because users can verify intent without parsing raw model rambling.
We still keep detailed traces internally for debugging. But in the product, we optimize for operator confidence, not model theater.
Andrea Phillips. (April 9, 2026). Why TaskHive doesn't show agent thoughts. Controlled Mayhem - Lab Notes.
Senior engineer with deep experience building AI agent infrastructure — persistent memory, multi-agent orchestration, and MCP tooling. Designs and ships production-grade systems that make AI agents reliable, persistent, and genuinely useful. Fifteen years of full-stack and real-time engineering underpinning a focused practice in applied AI.