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How to Design Better AI Apps

Y Combinator via YouTube

Overview

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Learn to design AI applications that function as customizable tools rather than simple chatbots in this 30-minute episode from Y Combinator's The Breakdown podcast. Join YC General Partners Tom, Dave, and Pete Koomen as they explore a revolutionary approach to AI-native software development that empowers users to offload unwanted tasks through intelligent collaboration. Discover why current AI applications are fundamentally broken and explore practical solutions including editable system prompts, user-accessible AI configuration, and agents that act as true collaborators rather than rigid interfaces. Examine the "horseless carriage" metaphor for AI development, witness a live demonstration of an email reading agent, and understand how to bridge the developer-user divide in software design. Explore why coding agents feel magical, learn techniques for training AI like a human assistant, and understand the limitations of traditional chatbot interfaces. Gain valuable insights for founders looking to build the next generation of AI-powered products that let users teach machines how to think and work according to their specific needs and preferences.

Syllabus

0:00 – Intro
0:52 – Why AI apps are broken
2:39 – The problem with Google's AI App
4:00 – A better way to build AI apps
5:27 – The hidden system prompt
7:57 – What if you could access the system prompt?
9:40 – The developer-user divide in software
10:48 – The "horseless carriage" metaphor
13:35 – Email reading agent demo
14:34 – Everyone can be a prompt engineer
16:23 – Why coding agents feel magical
21:42 – Training AI like a human assistant
28:45 – The problem with chatbot interfaces
29:10 – Advice for founders

Taught by

Y Combinator

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