The Custom AI Role feature is created and applied by the following steps:
- Creation ProcessClick "Add" in the "AI Roles" module and set the role name (e.g. "Code Reviewer"), area of expertise (programming/legal/writing, etc.), and preferred model (e.g. technical). questions select DeepSeek).
- typical scenario::
- Programmer creates "Debug Assistant" to optimize error code analysis
- Writers design "style coaches" to keep the tone of their manuscript consistent.
- Lawyers customize "clause examiners" to quickly identify contractual risk points
- Advanced Techniques::
- Adding "prohibitions" to roles (e.g., medical roles to avoid diagnostic recommendations)
- Import specialized documentation (e.g., programming API documentation) to enhance the role knowledge base
- Save commonly used Prompt templates for one-click recall
Case description: Users create the role of "Academic Peer Reviewer", import journal formatting requirements, and then AI will automatically assess the paper according to the standard and give suggestions for modification. All role data is only stored locally, supporting cross-device synchronization via iCloud.
This answer comes from the articleOn Device AI: AI Voice Transcription and Chat Tool for iPhone Native RunningThe
May not be reproduced without permission:AI productivity tools " What are the practical application scenarios for the Custom AI Roles feature? How to create personalized roles?
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