Cards in group
This card focuses on design principles and AI prompting techniques for creating dashboards compatible with AI agents. It does not cover backend AI integration, specific coding tutorials, or cross-platform app deployment details.
Learn how to craft visually rich, interactive dashboards that seamlessly integrate with AI agent automation, balancing aesthetics and functionality for optimal user and agent experience.
Steps
- Understand the importance of agent compatibility in dashboard design.
- Learn the principles of visually rich and beautiful dashboard creation, including layout, color theory, and typography.
- Use AI prompting strategies to generate dashboard components with clear, descriptive labeling suitable for agent interpretation.
- Incorporate interactive elements like mind maps, charts, and widgets that support agent-triggered actions.
- Balance aesthetic appeal with usability by ensuring accessibility standards and agent action entry points are met.
- Test dashboard components for agent accessibility and automate workflows using sample AI prompts.
- Iterate on the design by gathering feedback on both user experience and agent interaction efficiency.
Materials: https://www.nngroup.com/articles/agent-user-interfaces/, https://uxdesign.cc/designing-for-ai-agents-8e78f479652d, https://material.io/design/interaction/overview.html, https://www.smashingmagazine.com/2020/06/beautiful-dashboards-principles-components/
50 minDifficulty: intermediateDomains: User Interface Design, Human-Computer Interaction, Artificial Intelligence, Visual Design
This card focuses specifically on prompt engineering techniques and collaboration workflows with AI to generate interactive visualizations and mind maps. It does not cover the underlying coding implementation of visualization libraries, nor deep UI/UX design theory beyond agent compatibility aspects.
Learners will master methods to craft effective prompts for AI (Codeex/GPT 5.5) to develop interactive, agent-compatible mind maps and advanced visualizations that enhance user engagement and accessibility.
Steps
- Understand the core requirements for agent compatibility in interactive components, including clear labeling, accessibility, and trigger points.
- Learn best practices for prompting GPT 5.5 and Codeex to generate code snippets or configurations for mind maps and visualizations.
- Explore how to structure prompts that specify interactivity features like zoom, pan, node expansion/collapse, and dynamic updates.
- Develop prompts that explicitly enforce accessibility and labeling standards to ensure AI agents can easily interact with components.
- Practice iterative collaboration with AI, using feedback loops to refine visualization outputs to balance user experience and agent command-ability.
- Integrate multi-modal prompt cues (textual descriptions, example data, UI constraints) to improve AI interpretation and output quality.
- Test generated visual components with both human users and AI agents to validate compatibility and usability.
Materials: https://developer.ibm.com/articles/build-dynamic-mind-maps-with-ai/, OpenAI Cookbook: prompt engineering techniques (https://github.com/openai/openai-cookbook), Accessibility guidelines for interactive components (https://www.w3.org/WAI/standards-guidelines/), Codeex and GPT 5.5 API documentation for visualization generation, Articles on designing agent-compatible UI components, Research papers on AI-assisted data visualization and interaction design
45 minDifficulty: intermediateDomains: Human-Computer Interaction, AI Collaboration, User Interface Design, Prompt Engineering, Data Visualization
This card focuses on leveraging AI for designing responsive and accessible UI layouts. It does not cover deep coding implementation or backend accessibility features beyond design prompts. It also does not delve into manual testing techniques or specific device emulation setups.
Learn to prompt AI tools like Codeex/GPT 5.5 to generate UI layouts that are both responsive across devices and compliant with accessibility standards, ensuring inclusive and agent-compatible interfaces.
Steps
- Understand core principles of responsive design and accessibility standards (WCAG).
- Learn to craft precise prompts for AI models to generate flexible grid and layout structures.
- Incorporate accessibility features such as keyboard navigation, ARIA roles, and contrast considerations into AI prompts.
- Test AI-generated layouts across multiple device resolutions and input methods via prototyping tools.
- Refine prompts iteratively to balance aesthetics, responsiveness, and accessibility compliance.
- Integrate AI-produced layouts into agent-compatible UI frameworks ensuring seamless agent and user interaction.
Materials: WCAG Guidelines: https://www.w3.org/WAI/standards-guidelines/wcag/, Responsive Design Basics - MDN Web Docs: https://developer.mozilla.org/en-US/docs/Learn/CSS/CSS_layout/Responsive_Design, Example AI Prompt Templates for Accessibility and Responsiveness, Codeex/GPT 5.5 official prompt engineering guide, Accessibility testing tools overview (e.g., Axe, Lighthouse)
60 minDifficulty: intermediateDomains: user interface design, accessibility, responsive design, AI design systems
This card focuses on strategies to define and design UI elements that are explicitly accessible to AI agents for triggering actions, including labeling conventions and API integration points. It does not cover the visual aesthetic design in depth, nor the broader backend building of AI agents beyond integration considerations.
Learners will understand how to design UI elements with clear, well-defined entry points for AI agent-triggered actions, including effective labeling and integration considerations, enabling seamless automation and collaboration.
Steps
- Understand the importance of explicit agent interaction points in UI for seamless automation.
- Learn labeling strategies to make UI elements clearly identifiable and accessible to AI agents (e.g., semantic naming, ARIA labels).
- Explore how to expose API endpoints or event hooks that correspond to UI elements for agent-triggered actions.
- Analyze best practices for designing UI components with agent compatibility in mind (e.g., modularity, consistent interface).
- Practice writing prompts for AI models like GPT 5.5 and Codeex to generate UI code that includes agent-accessible action points, labels, and API hooks.
- Review examples of agent-compatible UI elements with clear interaction points and labeling.
- Test interaction points in a prototype to ensure agents can reliably detect and trigger UI actions.
Materials: W3C ARIA Authoring Practices - https://www.w3.org/TR/wai-aria-practices/, Semantic HTML5 and Accessibility Guidelines - https://developer.mozilla.org/en-US/docs/Web/Accessibility/ARIA, API Design Best Practices - https://www.mulesoft.com/resources/api/best-practices-api-design, Designing User Interfaces for AI Agents (Research Article) - https://dl.acm.org/doi/10.1145/3411764.3445721, Example prompt for GPT 5.5 to generate agent-accessible UI elements: "Generate a React functional component with semantic ARIA labels and clearly defined onClick handlers suitable for AI agent interaction."
50 minDifficulty: intermediateDomains: UI/UX Design, Human-Computer Interaction, Artificial Intelligence Integration, API Design