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A post-generation governance layer that reviews LLM outputs for uncertainty, boundary compliance, and decision risk before delivery. Deterministic outcomes, audit-ready metadata, optional verification receipts.
Go Ask SimonPost-generation AI governance layer
Jaci Turnerleft a comment
I built Go Ask Simon after realizing that most AI safety tools focus on training or monitoring — not the moment when an AI response actually meets a human. Simon operates after generation and before delivery. It evaluates outputs for uncertainty, boundary issues, escalation risk, and authority drift — then enforces deterministic outcomes with audit-ready metadata. This isn’t another model. It’s...
Go Ask SimonPost-generation AI governance layer