Conseq as decision accountability for AI workflows

One technical pattern I keep coming back to: reasoning is not the same thing as accountability.

A model can explain a decision and still leave the workflow with no durable standard for whether the action should have happened. That gap matters more as AI workers get permission to send messages, update records, trigger automations, or make calls on behalf of people.

Conseq is pointed at that gap. The public shape is a decision API for AI workers that checks second-order and third-order consequences before an important action runs. The product framing is intentionally around workflow accountability, not another chat surface.

That is the layer I want more agent systems to have: let the model reason, but make the surrounding workflow explicit about consequences, thresholds, and what should stop before it executes.