add-ai-persona

To generate an AI persona with structured JSON output, provide a YAML-defined name and description along with the persona purpose. This builds a persona spec that registers into the persona registry with a defined output schema and domain-aligned system prompt.

A context builder for AI personas works by loading a target entity and rendering a deterministic, newline-separated context string. It strictly applies token budget limits and redacts sensitive data before the context is used for analysis.

Yes, you can use quality scoring to gate scheduled batch analysis. By enabling the optional context quality scorer, the persona supports scheduled and batch candidate scanning across domains like tickets, projects, and network monitoring.

The best way to scaffold an AI intelligence persona is to use a blueprint that defines the persona spec, context builder, and JSON response contract. This streamlines repeatable persona creation for specific CRM domains like fiber health or vendor management.

Yes, you need YAML to define the required name and description metadata for the AI persona spec. This YAML configuration is necessary to properly register the persona into the system's persona registry.

A key limitation is that the generated AI persona is bound by a strict JSON-only response contract and deterministic context gathering. Users must adhere to the defined output schema and cannot receive unstructured responses during on-demand analysis.