JILL | Joint Interactive Learning Loop | Customer Simulator

JILL (Joint Interactive Learning Loop) is a customer service training module developed by Sunshyne Labs. Purpose JILL is designed to provide a controlled, closed-loop environment where customer service representatives can practice interactions (colloquially known in the industry as "mock calls") to help them develop better communication skills and rapport building—all without affecting real-world operational metrics on the production floor during the nesting period. Its broader and more ambitious objective, outlined in the artifact, explores how meaningful exchanges of best practices between humans and contemporary generative analogues can support the operational development of both across time. Current Version Scope This release documents an initial version of the JILL artifact and its accompanying configuration files. The included materials in this version provide the foundation from which further development of future iterations are built. The current version of this artifact outlines Yeong-Ja Kim, a simulation of an elderly customer from South Korea. JILL encompasses four customer simulations in total. Each simulation has their own persona infusion vectors, internal world models and user-inducible value cues. Future versions shall introduce the architectures for the other three simulations. Succeeding iterations may also refine the initial simulation's logic, persona, documentation, and supporting frameworks, whilst preserving the provenance of its earlier releases. Additional Information SHA-256: 4ebbeec088e4f2d1ac052979e4129d866b345d860b66661cd1ef252d9da85829 Copyright © 2026 Sunshyne Labs. The MIT License governs the permissions granted for all materials in this release. All simulations are hosted by ElevenLabs. This project is not sponsored by or affiliated with this platform, nor does the inclusion of this platform imply its endorsement of JILL or Sunshyne Labs.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23663473
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

JILL | Joint Interactive Learning Loop | Customer Simulator

Sunshyne Labs, Jerome Juliano
2 links
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

JILL | Joint Interactive Learning Loop | Customer Simulator

Sunshyne Labs, Jerome Juliano
article en

Abstract

JILL (Joint Interactive Learning Loop) is a customer service training module developed by Sunshyne Labs. Purpose JILL is designed to provide a controlled, closed-loop environment where customer service representatives can practice interactions (colloquially known in the industry as "mock calls") to help them develop better communication skills and rapport building—all without affecting real-world operational metrics on the production floor during the nesting period. Its broader and more ambitious objective, outlined in the artifact, explores how meaningful exchanges of best practices between humans and contemporary generative analogues can support the operational development of both across time. Current Version Scope This release documents an initial version of the JILL artifact and its accompanying configuration files. The included materials in this version provide the foundation from which further development of future iterations are built. The current version of this artifact outlines Yeong-Ja Kim, a simulation of an elderly customer from South Korea. JILL encompasses four customer simulations in total. Each simulation has their own persona infusion vectors, internal world models and user-inducible value cues. Future versions shall introduce the architectures for the other three simulations. Succeeding iterations may also refine the initial simulation's logic, persona, documentation, and supporting frameworks, whilst preserving the provenance of its earlier releases. Additional Information SHA-256: 4ebbeec088e4f2d1ac052979e4129d866b345d860b66661cd1ef252d9da85829 Copyright © 2026 Sunshyne Labs. The MIT License governs the permissions granted for all materials in this release. All simulations are hosted by ElevenLabs. This project is not sponsored by or affiliated with this platform, nor does the inclusion of this platform imply its endorsement of JILL or Sunshyne Labs.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
AI in Service Interactions
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