Guides designing mixed-initiative AI interactions: user/AI-driven spectrum, handoff strategies, leadership rules, anti-patterns, initiative maps.
npx claudepluginhub owl-listener/ai-design-skills --plugin model-interaction-designThis skill uses the workspace's default tool permissions.
Mixed-initiative interaction is when both the human and the AI can take the lead. The designer decides who drives at each moment — and how control transfers between them.
Designs human-AI conversations with patterns for turn-taking, repair sequences, grounding, and structures like interviews, co-creation, or guided workflows.
Designs human-in-the-loop intervention points for agent workflows: approval gates, reviews, overrides, triggers, and strategies to minimize bottlenecks.
Designs AI-first interfaces for ongoing user relationships using memory, trust evolution, and collaborative planning. For AI apps, chatbots, and repeated interactions.
Share bugs, ideas, or general feedback.
Mixed-initiative interaction is when both the human and the AI can take the lead. The designer decides who drives at each moment — and how control transfers between them.
Interactions sit on a spectrum:
The moment control shifts from one party to the other is where most interactions fail. Design these transitions:
The AI should take initiative when:
The user should retain control when: