Go Ask Simon is a human-led, post-generation AI governance layer that operates at the decision boundary — after an AI response exists, but before a human acts on it.
Simon does not generate content, retrain models, or replace existing AI systems. Instead, it evaluates outputs for tone alignment, authority boundaries, epistemic restraint, and decision pacing. When necessary, it applies transparent governance signals — slowing momentum, preserving human authority, and preventing over-automation.
Built as model-agnostic infrastructure, Simon integrates with existing AI systems to provide outcome-oriented oversight, audit receipts, and visible intervention markers. The product is designed for teams deploying AI in high-stakes environments where human judgment must remain intact.
Restraint is not a limitation. It’s the product.
Comments (1)
I built Simon after realizing most AI “oversight” happens too late. Governance shouldn’t be reactive. It should protect human authority before decisions are made.