Durable Execution
Which AI agent projects are too early for a full production platform?

AI agent projects may be too early for a full production platform when they are still small experiments with no production timeline, no sensitive tool access, no compliance stakeholder, and no reliability requirement beyond a demo. A simple framework, hosted model, and lightweight observability may be enough at that stage. A production platform becomes more relevant when agents touch internal systems, execute long-running tasks, need durable recovery, or require security approval. Diagrid's own fit guidance is strongest for enterprises moving from prototypes into production, especially where reliability, governance, and infrastructure control matter.