AI content engineering app

This example packages content engineering as a product-level Agent App, not as a single “content expert”. It has its own UI, storage, workflows, worker, expert-chat entry, Knowledge bindings, Artifacts, and Evals.

It declares:

• dashboard and content_factory page entries.
• knowledge_builder and content_calendar workflows.
• content_strategist expert-chat entry.
• content-engineering-app storage namespace and schema.
• Knowledge slots for project_knowledge, personal_ip, and content_operations.
• Tool Broker requirements such as document parsing and competitor research.
• Artifact types for content tables, article drafts, and strategy reports.
• Evals for anti-AI tone and fact grounding.

Customer-specific facts such as founder stories, brand voice, private-domain SOPs, and operation data do not belong in the official app package. They should be bound as Agent Knowledge, workspace files, app storage, or overlays.

Reference package: docs/examples/content-engineering-app/APP.md