Capture intent before model invocation: a human-AI loop where AI only enters at refine
lee_stott · x · 2026-10-15
In a session by Devika Toprani, a 'capture intent before model invocation' human-AI loop is proposed: the user first attempts and maps their intent on a Pre-AI Canvas (Intent Record with timestamp), formulates gap questions and gate checks, and only then triggers the Copilot/model call, followed by output-vs-map review and an audit log.
The tagline: 'everything left of the model call is human work' — AI enters only at the refine stage. The flow can be implemented via Microsoft Copilot extensions, internal developer portals, or enterprise LMS, ensuring outputs align with genuine intent and remain auditable.
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