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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19683122 |
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| _version_ | 1866902296269422592 |
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| author | Waern, Nicolas |
| author_facet | Waern, Nicolas |
| contents | 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. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19683122 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Ship It Broken, Label It Honest: Deployment Patterns for AI Agents in Early-Stage Wellness Platforms Waern, Nicolas AI deployment experimental label wellness platform critical realism data gaps progressive onboarding WHO quality of life responsible AI deployment patterns edge computing 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. |
| title | Ship It Broken, Label It Honest: Deployment Patterns for AI Agents in Early-Stage Wellness Platforms |
| topic | AI deployment experimental label wellness platform critical realism data gaps progressive onboarding WHO quality of life responsible AI deployment patterns edge computing |
| url | https://doi.org/10.5281/zenodo.19683122 |