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How this Yelp AI PM works backward from “golden conversations” to create high-quality prototypes using Claude Artifacts and Magic Patterns | Priya Badger

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Manage episode 514712832 series 3660816
内容由Claire Vo提供。所有播客内容(包括剧集、图形和播客描述)均由 Claire Vo 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Priya Badger, a product manager at Yelp, shares her innovative approach to designing AI-powered products by starting with example conversations rather than traditional wireframes or PRDs. In this episode, she demonstrates how she uses Claude and Magic Patterns to prototype Yelp’s AI assistant features—from exploring conversation flows to designing user interfaces.

What you’ll learn:

1. How to use example conversations as your first “wireframe” when designing conversational AI products

2. A step-by-step workflow for using Claude to generate and refine sample conversations that guide your AI product development

3. Techniques for creating interactive prototypes with Claude Artifacts that use real LLM responses without complex API integrations

4. How to use Magic Patterns’ Inspiration mode to rapidly explore multiple UI variations for your AI features

5. Why starting with conversations and working backward to system prompts creates more natural AI interactions

6. How to apply these AI prototyping techniques to personal projects to build your AI product management skills

Brought to you by:

GoFundMe Giving Funds—One account. Zero hassle.

Persona—Trusted identity verification for any use case

Where to find Priya Badger:

LinkedIn: https://www.linkedin.com/in/priyamathewprofile/

Substack: https://almostmagic.substack.com/

Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

LinkedIn: https://www.linkedin.com/in/clairevo/

X: https://x.com/clairevo

In this episode, we cover:

(00:00) Introduction to Priya

(02:54) The unique challenges of managing AI-powered products

(04:33) Using example conversations as a starting point for design

(05:53) Demo: Prompting Claude to generate sample conversations

(09:10) Prototyping advice

(09:53) Testing with multiple example images and scenarios

(15:03) Refining conversations based on qualitative assessment

(15:59) Demo: Creating interactive prototypes with Claude Artifacts

(21:22) Using Magic Patterns to design the user interface

(25:30) Exploring multiple design variations with Inspiration mode

(31:02) Quick summary

(33:35) How to apply these AI prototyping techniques to personal projects

(38:57) Final thoughts

Tools referenced:

• Claude: https://claude.ai/

• Magic Patterns: https://magicpatterns.com/

• Lovable: https://lovable.ai/

• Figma: https://www.figma.com/

• ChatGPT: https://chat.openai.com/

Other references:

• How to build prototypes that actually look like your product | Colin Matthews (product leader, AI prototyping instructor at Maven): https://www.lennysnewsletter.com/p/how-to-build-prototypes-that-actually

Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

  continue reading

41集单集

Artwork
icon分享
 
Manage episode 514712832 series 3660816
内容由Claire Vo提供。所有播客内容(包括剧集、图形和播客描述)均由 Claire Vo 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Priya Badger, a product manager at Yelp, shares her innovative approach to designing AI-powered products by starting with example conversations rather than traditional wireframes or PRDs. In this episode, she demonstrates how she uses Claude and Magic Patterns to prototype Yelp’s AI assistant features—from exploring conversation flows to designing user interfaces.

What you’ll learn:

1. How to use example conversations as your first “wireframe” when designing conversational AI products

2. A step-by-step workflow for using Claude to generate and refine sample conversations that guide your AI product development

3. Techniques for creating interactive prototypes with Claude Artifacts that use real LLM responses without complex API integrations

4. How to use Magic Patterns’ Inspiration mode to rapidly explore multiple UI variations for your AI features

5. Why starting with conversations and working backward to system prompts creates more natural AI interactions

6. How to apply these AI prototyping techniques to personal projects to build your AI product management skills

Brought to you by:

GoFundMe Giving Funds—One account. Zero hassle.

Persona—Trusted identity verification for any use case

Where to find Priya Badger:

LinkedIn: https://www.linkedin.com/in/priyamathewprofile/

Substack: https://almostmagic.substack.com/

Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

LinkedIn: https://www.linkedin.com/in/clairevo/

X: https://x.com/clairevo

In this episode, we cover:

(00:00) Introduction to Priya

(02:54) The unique challenges of managing AI-powered products

(04:33) Using example conversations as a starting point for design

(05:53) Demo: Prompting Claude to generate sample conversations

(09:10) Prototyping advice

(09:53) Testing with multiple example images and scenarios

(15:03) Refining conversations based on qualitative assessment

(15:59) Demo: Creating interactive prototypes with Claude Artifacts

(21:22) Using Magic Patterns to design the user interface

(25:30) Exploring multiple design variations with Inspiration mode

(31:02) Quick summary

(33:35) How to apply these AI prototyping techniques to personal projects

(38:57) Final thoughts

Tools referenced:

• Claude: https://claude.ai/

• Magic Patterns: https://magicpatterns.com/

• Lovable: https://lovable.ai/

• Figma: https://www.figma.com/

• ChatGPT: https://chat.openai.com/

Other references:

• How to build prototypes that actually look like your product | Colin Matthews (product leader, AI prototyping instructor at Maven): https://www.lennysnewsletter.com/p/how-to-build-prototypes-that-actually

Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

  continue reading

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