Constraints & Consistency Rules define the boundaries and rules that govern how reference materials are used together within AI-based content creation. These rules ensure that characters, scenes, objects, lighting, and motion remain aligned across multiple outputs.
In AI workflows, inconsistency often occurs not because references are missing, but because they are applied without clear constraints. When boundaries are undefined, AI outputs tend to drift—visually, structurally, or narratively—over time.
Constraints establish what must remain fixed and what can vary within a project. They act as decision filters that help creators maintain continuity while still allowing controlled flexibility where needed.
On Indera.Digital, Constraints & Consistency Rules are treated as a system-level reference, not as a technical checklist. They do not prescribe tools or generation methods, but define how different reference materials interact as a unified system.
This section explains why constraints are necessary, how consistency is maintained conceptually, and how these rules support scalable and repeatable AI-driven production without exposing implementation details.
