Ship It Broken, Label It Honest: Deployment Patterns for AI Agents in Early-Stage Wellness Platforms
Position paper formalising six deployment patterns for AI agents in wellness platforms: experimental labelling, stability-first model selection, data gap architecture, progressive onboarding, WHO QoL anchoring, and tiered AI credits. Grounded in Bhaskar's critical realism, the paper argues that labelling AI outputs as experimental is an epistemological commitment, not a UX compromise.
Authors
- Nicolas Waern (ORCID: https://orcid.org/0000-0001-7970-2707)
Institutions
- Association of British Orchestras (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-16
- DOI
- https://doi.org/10.5281/zenodo.19601971
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00