How do you build AI tools that actually meet users’ needs? In this episode of High Agency, Raza speaks with Lorilyn McCue, the driving force behind Superhuman’s AI-powered features. Lorilyn lays out the principles that guide her team’s work, from continuous learning to prioritizing user feedback. Learn how Superhuman’s "learning-first" approach allows them to fine-tune features like Ask AI and AI-driven summaries, creating practical solutions for today’s professionals.

00:00 - Introduction
04:20 - Overview of the Superhuman
06:50 - Instant Reply and Ask AI
10:00 - Building On-Demand vs. Always-On AI Features
13:45 - Prompt Engineering for Effective Summarization
22:35 - The Importance of Seamless AI Integration in User Workflows
25:10 - Developing Advanced Email Search with Contextual Reasoning
29:45 - Leveraging User Feedback
32:15 - Balancing Customization and Scalability in AI-Generated Emails
36:05 - Approach to Prioritization
39:30 - Real-World Use Cases: The Versatility of Current AI Capabilities
43:15 - Learning and Staying Updated in the Rapidly Evolving AI Field
46:00 - Is AI Overhyped or Underhyped?
49:20 - Final Thoughts and Closing Remarks

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Humanloop is an Integrated Development Environment for Large Language Models. It enables product teams to develop LLM-based applications that are reliable and scalable. To find out more go to humanloop.com

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