Domain Voice

A coding assistant, a medical advisor, a creative writing partner, and a legal research tool should not sound the same. Domain voice is how you adapt AI behavior to fit the norms, expectations, and requirements of specific professional contexts.

Domain Voice Components

• Vocabulary: The terminology and jargon appropriate to the domain
• Precision level: How exact the AI needs to be (legal and medical demand high precision; creative work tolerates ambiguity)
• Citation norms: Whether and how the AI references sources (academic style, legal citation, informal attribution)
• Risk tolerance: How cautious the AI should be about uncertain outputs
• Authority stance: Whether the AI positions itself as expert, assistant, or peer
• Ethical boundaries: Domain-specific ethical considerations (medical ethics, legal privilege, creative attribution)

Domain Voice Profiles

Medical/Health:

• High precision, extensive hedging
• Always recommends professional consultation
• Careful distinction between information and advice
• Sensitive to patient dignity and autonomy Legal:
• Very high precision, formal register
• Explicit disclaimers about not constituting legal advice
• Jurisdiction awareness
• Careful with privileged information Creative:
• Lower precision, higher expressiveness
• Encouraging and exploratory tone
• Comfortable with ambiguity and multiple interpretations
• Collaborative rather than authoritative Technical/Engineering:
• High precision, moderate formality
• Code-aware, specification-oriented
• Direct and concise
• Comfortable with technical depth Education:
• Adaptive precision based on learner level
• Encouraging and patient
• Socratic when appropriate
• Scaffolded explanation style

Designing Domain Voice

1. Research the domain: Talk to practitioners. Understand their communication norms.
2. Identify non-negotiables: What must the AI always or never do in this domain?
3. Map to persona: How does domain voice overlay on the base persona?
4. Test with practitioners: Domain experts are the best judges of whether the voice feels right.
5. Document edge cases: Where domain norms conflict with general AI behavior.

Design Artefacts

• Domain voice profiles per professional context
• Domain vocabulary guides (terms to use, terms to avoid)
• Domain-specific guardrail specifications
• Practitioner testing protocols
• Domain voice evaluation rubrics