AI Interfaces Of The Future | Design Review

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AI Summary

Summary of AI User Interfaces Video Transcript

Introduction

• Host joined by Raphael Shad, creator of Notion Calendar.
• Discussion on how AI will change user interfaces beyond chat UIs.

AI Interface Evolution

• Traditional software focused on static elements (nouns) like text, forms, buttons.
• AI changes design to focus on verbs, such as workflows, autocomplete, information gathering.
• Challenge: Tooling to visually represent verbs on screens.

Vapy (Voice AI for Developers)

• Vapy allows developers to create voice agents quickly.
• Feedback on Vapy:
  • Lack of visual feedback during voice recognition.
  • Importance of multimodal cues.
  • Latency and natural conversation flow are crucial.
  • Developer-focused interface with latency metrics.

Retail AI (Voice AI for Call Operations)

• Retail AI enhances call operations with AI voice agents.
• Feedback on Retail AI:
  • Latency can break the illusion of talking to a human.
  • AI adjusts to new information during calls.
  • Potential for first-line automation with human follow-up.

Gum Loop (AI Automation)

• Gum Loop provides AI automation with no coding.
• Feedback on Gum Loop:
  • Uses a canvas interface for visual workflows.
  • Suggestion for different zoom levels and a legend for colors.
  • Potential for complex, branching decision trees.

Answer Grid (Answers at Scale)

• Answer Grid turns prompts into structured spreadsheet data.
• Feedback on Answer Grid:
  • Each cell has an AI agent to gather data.
  • Shows sources for data validation.
  • Suggestion for inline references in answers.

Polyat (AI Product Designer)

• Polyat generates production-ready code from design prompts.
• Feedback on Polyat:
  • Open-ended prompts can be anything.
  • Interactive design with incremental changes.
  • Suggestion for richer prompt builders.

Adaptive AI Interfaces

• Adaptive interfaces change based on content, such as emails.
• Feedback on adaptive interfaces:
  • Challenge of predictability and consistency.
  • Keyboard shortcuts for efficiency.

Zi (Smarter Email App)

• Zi suggests specific responses based on email content.
• Feedback on Zi:
  • Adaptive responses with high-level abstraction.
  • Keyboard shortcuts for quick actions.

Argil (AI Video Studio)

• Argil creates videos with deep fake AI.
• Feedback on Argil:
  • Trades off fidelity for immediacy.
  • Suggestion to bring selection UI closer to text input.

Takeaways

• AI interfaces are evolving from chat boxes to diverse modalities.
• Interfaces are focusing on verbs and keeping users in control.
• The future of software is being reshaped by AI-native components.

Conclusion

• The video showcases groundbreaking UIs that will continue to evolve.
• Excitement for the future of AI in software design.