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How to Fix Broken AI Apps

Building
May 25, 2025
Exploring AI as user-taught collaborators, not chatbots.
Topics discussed in the episode:
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How can founders reimagine existing tools with AI?
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Why should founders move beyond chatbot paradigms in AI products?
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Will users be able to program AI software using natural language?
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How can founders improve user interactions with AI in their products?
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Why should founders focus on providing AI tools for agents?
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How can AI help automate repetitive work for users?
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What is the "AI horseless carriage" and why should founders avoid it?
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How should founders design AI-native applications from scratch?
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Why should founders let users edit AI system prompts?
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How can founders avoid using outdated development techniques when building AI products?

How can founders reimagine existing tools with AI?

Opening: Founders have an opportunity to rebuild legacy tools as AI-native applications. Quote:

"Almost every tool that we've been using for decades can be rethought from the ground up with AI, and I think the AI-native version of a lot of tools will look different from the versions we're used to using."

Takeaway:
  • Reimagine traditional tools with AI at their core.
  • Identify areas where AI can enhance or transform functionality.
  • Innovate products that offer new value propositions with AI.

Why should founders move beyond chatbot paradigms in AI products?

Opening: Relying solely on chatbots limits the full potential of AI applications. Quote:

"I kind of hate the, the kind of chatbot paradigm... that's not the way this stuff should be used in almost every case."

Takeaway:
  • Explore novel interfaces beyond chatbots for AI interaction.
  • Design AI tools that perform actions, not just conversations.
  • Unlock AI's capabilities by reimagining user engagement models.

Will users be able to program AI software using natural language?

Opening: The future holds potential for users to program AI systems with ease using natural language. Quote:

"I think this is actually going to happen a lot faster with prompting because writing a prompt is a lot more accessible than, you know, operating your file system manager on your computer."

Takeaway:
  • Democratize AI programming through natural language prompts.
  • Empower users to customize software without technical expertise.
  • Accelerate AI adoption by reducing barriers to programming.

How can founders improve user interactions with AI in their products?

Opening: Founders should provide transparent and editable AI interactions to improve user experience. Quote:

"Being able to look at the ground truth of what this agent is being instructed to do on my behalf is incredibly valuable and it seems to be totally missing from a lot of applications."

Takeaway:
  • Offer users visibility into AI decision-making processes.
  • Allow users to customize AI behavior for better alignment.
  • Enhance trust by making AI operations transparent.

Why should founders focus on providing AI tools for agents?

Opening: Equipping AI agents with tools enhances their ability to perform tasks effectively. Quote:

"The thing that these agents need in order to be able to do anything useful... we call tools."

Takeaway:
  • Develop tools that empower AI agents to act on behalf of users.
  • Enable agents to interact with various systems to accomplish tasks.
  • Enhance AI utility by expanding agent capabilities.

How can AI help automate repetitive work for users?

Opening: Founders can leverage AI to handle users' repetitive tasks, enhancing efficiency. Quote:

"The real promise of AI, I think for many of us, is using AI to automate repetitive busy work."

Takeaway:
  • Use AI to offload mundane tasks from users.
  • Focus on creating tools that can accomplish tasks autonomously.
  • Improve user productivity through AI automation.

What is the "AI horseless carriage" and why should founders avoid it?

Opening: Founders should avoid fitting AI into old paradigms and instead innovate new solutions. Quote:

"The problem with that is that Gmail is an application designed for humans to do work in... We're designing features like this in a way that looks a lot like software that we've been building for decades."

Takeaway:
  • Recognize when old models limit AI's potential.
  • Innovate new designs that fully utilize AI capabilities.
  • Avoid merely embedding AI into outdated frameworks.

How should founders design AI-native applications from scratch?

Opening: Founders should rethink their products to fully exploit AI, rather than just adding AI to existing designs. Quote:

"Instead of asking how do I insert AI into my tool, it's how would I design this tool from scratch to offload as much repetitive work from the user as possible."

Takeaway:
  • Rethink product design with AI capabilities at the core.
  • Focus on automating user workloads to enhance productivity.
  • Create AI-native tools that redefine user experiences.

Why should founders let users edit AI system prompts?

Opening: Allowing users to edit system prompts empowers them to customize AI behavior to their needs. Quote:

"By editing this system prompt, I'm able to explain to the AI model how I write emails in general."

Takeaway:
  • Users gain control over AI outputs, leading to personalized experiences.
  • Customizable prompts improve user satisfaction and engagement.
  • Founders can create more flexible products by exposing system prompts.

How can founders avoid using outdated development techniques when building AI products?

Opening: Founders should rethink traditional software development methods to fully leverage AI's capabilities. Quote:

"We're using old software development techniques to build these features, and we're not actually taking full advantage of what AI can do."

Takeaway:
  • Reevaluate traditional development approaches when incorporating AI.
  • Design software that allows users to program it using natural language.
  • Embrace AI's potential to create more dynamic, user-driven products.