What makes human-AI work perform well in practice?
Human-AI Performance studies what people do, what AI systems do, and what happens between them inside real work.
The research feeds directly into the HAP method and Field Guide.
Current areas of enquiry
Human behaviour
Reliance, checking, judgement and changing ways of working.
AI behaviour
Escalation, context loss, inconsistency and behaviour in use.
Human-AI interaction
Handover, authority, duplicated work and responsibility.
Performance
When the combined arrangement is better, worse or simply different.
From research to practice
The Human-AI Performance Field Guide turns the current research into a practical method for examining one piece of human-AI work.
Human-AI Performance
© 2026 Alterkind Ltd. All rights reserved.
Human-AI Performance™ is a proprietary methodology developed by BehaviourStudio using our Behaviour Thinking® framework. All content, tools, systems, and resources presented on this site are the exclusive intellectual property of Alterkind Ltd.
You’re welcome to use, share, and adapt these materials for personal learning and non-commercial team use.
For any commercial use, redistribution, or integration into client work, services, or paid products, please contact lauren@laurenakelly.com to discuss licensing terms.
Icons by Creative Mahira, The Noun Project.
Thanks to Nicholas Edell, Valentina Tan and multiple VPs implementing AI for your feedback during development.
LICENSE
Based on work by Lauren A Kelly.
For commercial licensing contact: lauren@laurenakelly.com