Building & Shipping 6 guests | 29 insights

AI-Assisted Prototyping

Transform abstract product concepts into functional, interactive software using natural language and AI tools.

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The Guide

5 key steps synthesized from 6 experts.

1

Define Scope and Technical Stack

Start by detailing the core features and the desired software stack in a comprehensive prompt. Describe the intent in plain language to establish a strong foundation for the AI to understand the application logic and architecture.

Featured guest perspectives
"Regardless of your choice, cloud development environments all support building more complex applications than chatbots, with the ability to deploy to the cloud and easily share updated iterations over time."
— Lenny Rachitsky
2

Generate the Initial UI from Visuals

Upload screenshots of high-fidelity Figma designs or hand-drawn sketches to tools like v0 or Bolt. The AI vision capabilities will translate these layouts into functional code and styles within seconds, providing an immediate visual baseline.

Featured guest perspectives
"But what’s cooler is that you can use these tools to build functional prototypes from a Figma design, convert a rough hand-drawn sketch to a working app, translate a PRD document into an interactive prototype, or even build a usable internal tool for your team, with no coding ability."
— Lenny Rachitsky
"But what’s cooler is that you can use these tools to build functional prototypes from a Figma design, convert a rough hand-drawn sketch to a working app, translate a PRD document into an interactive prototype, or even build a usable internal tool for your team, with no coding ability."
— Lenny Rachitsky
3

Integrate Logic and Backend Persistence

Use full-stack tools like Replit or Lovable to add databases and user authentication. Move beyond static screens by prompting for real data transformations and back-end logic, ensuring the prototype can handle actual user workflows.

Featured guest perspectives
"And it's not just building a static site, or something like that, but you can actually build full stack, real software with databases, and hosting and et cetera, just from prompting. And in a ridiculously short period of time, it's not like you're spending hours and hours or days, putting this together. You can get results in like, a minute."
— Eric Simons
"A leading vibe-coding platform that takes a plain English description of what you want to create and builds a production-ready app. It includes a native database, user authentication, security scan, and hosting."
— Lenny Rachitsky
"I use Replit whenever I need a fully functional back end or I want to use Python code. I’ve used it to build an MP4-to-GIF converter and a Substack image resizer—both tools I use weekly."
— Lenny Rachitsky
4

Iterate Through Sequential Feedback

Refine the prototype by providing specific, granular instructions for UI tweaks or functional bugs. Treat the AI like a remote engineer by breaking down complex requirements into small, manageable requests to avoid overwhelming the model context.

Featured guest perspectives
"If you haven’t been paying close attention over the past six months, you may have missed the rise of tools like Cursor, Replit Agent, v0, Bolt, and other new cutting-edge AI tools that allow you to build working apps in minutes."
— Lenny Rachitsky
"As you’re reading through this list and wondering what to do, try opening up one of the AI tools (or a few at a time) and simply describe what you want in plain English, as if you were talking to a remote engineer. Then, iterate by describing what you want to change about what you see, as if you’re speaking with a remote engineer. You’ll be surprised by how far you’ll get."
— Lenny Rachitsky
5

Refine with Branded Components

Import your own shared UI component libraries to ensure the prototype remains consistent with your brand's existing styles. Use the Model Context Protocol (MCP) to pull styling data and CSS directly from Figma into your development environment.

Featured guest perspectives
"Component libraries are the first big improvement you can bring to your team. They allow you to maintain branding and consistent styling without having to manually clean up each prototype to look like your product."
— Lenny Rachitsky
"It’s designed instead to be the best tool in the world at prototyping your ideas using your existing products’ styles, getting feedback from customers, and then helping you build a real product in your regular development environment."
— Lenny Rachitsky
"In this case, we can use the Cursor agent to make calls to Figma’s MCP server to retrieve detailed styling information, and then transform that into components."
— Lenny Rachitsky

Get this guide as an AI skill for Claude Code

Includes our free 8-email course on making your product team AI-native. Unsubscribe anytime.

Install This Skill

Add this skill to Claude Code, Cursor, or any AI coding assistant that supports Agent Skills.

Quick Install (Recommended)

Install this skill directly using npx:

npx skills add RefoundAI/lenny-skills --skill ai-assisted-prototyping

Or install all 76 skills:

npx skills add RefoundAI/lenny-skills
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Manual Installation
1

Download the skill

Download Skill (.zip)
2

Add to your project

Create a folder in your project root and add the skill file:

.claude/skills/ai-assisted-prototyping/SKILL.md
3

Start using it

Claude will automatically detect and use the skill when relevant. You can also invoke it directly:

Help me with ai-assisted prototyping

Guest Perspectives

Deep dive into what 5 podcast guests shared about ai-assisted prototyping.

Aparna Chennapragada 1 quote
Listen to episode →
"If you're not prototyping and building to see what you want to build, I think you're doing it wrong. It becomes even more important to have that territorial and taste-making at the heart of it because, otherwise, you just have a Frankenstein product."
Tactical:
  • Build functional prototypes immediately to visualize the vision before committing to full-scale development.
  • Apply a strong editorial 'taste-making' lens to the prototyping process to prevent the product from becoming fragmented.
  • Use prototypes as 'live experiments' to gather micro-feedback on core product-market fit.
View all skills from Aparna Chennapragada →
Elena Verna 4.0 1 quote
"I build myself apps, tutoring apps for my kid, so he has to answer questions in order to get some screen time accumulated for him. I build my own portfolio. I see people doing wonderful things, my favorite story that I always say, there's this man that created a proposal on Lovable."
Tactical:
  • Use AI to prototype custom internal tools, such as landing pages or tutoring apps.
  • Experiment with 'vibe coding' to build creative solutions for personal life admin.
  • Focus on the capability stage of software to see which of your manual tasks can be automated via custom apps.
View all skills from Elena Verna 4.0 →
Eric Simons 1 quote
Listen to episode →
"And it's not just building a static site, or something like that, but you can actually build full stack, real software with databases, and hosting and et cetera, just from prompting. And in a ridiculously short period of time, it's not like you're spending hours and hours or days, putting this together. You can get results in like, a minute."
Tactical:
  • Use text-to-app tools to build full-stack versions of features with databases rather than just static UIs.
  • Iterate on prototypes by continuously prompting the AI agent to add specific business logic or functional integrations.
  • Deploy functional clones to production-grade hosting immediately to test end-to-end user flows.
View all skills from Eric Simons →
Lazar Jovanovic 1 quote
Listen to episode →
"I can say I spent 80% of my time in planning and chatting and only 20% in executing the plan actually. I'm optimizing for the right kind of speed. Most people optimize for the wrong one."
Tactical:
  • Dedicate the majority of your project time to the planning and chatting phase rather than implementation.
  • Limit the number of requests per prompt to stay within the model's effective context memory window.
  • Break down complex projects into small, manageable 'wishes' that the AI can execute with high quality.
View all skills from Lazar Jovanovic →
Zevi Arnovitz 4 quotes
Listen to episode →
"If you're non-technical like me, code is terrifying, but AI just makes it so much possible. In the next coming years, I think everyone's going to become a builder. Titles are going to collapse and responsibilities are going to collapse."
Tactical:
  • Use Cursor with Claude Code as your primary development environment.
  • Develop a library of reusable /commands to guide the AI through ideation, planning, and building.
  • Assign the AI a 'CTO' persona with instructions to challenge your technical assumptions rather than being a people-pleaser.
"I think if you see this where I'm working like in Claude or in Cursor, you might be excited to start using those, but I would really recommend starting slow with a GPT project, beautiful UI, super simple, then maybe graduate to like a Bolt or a Lovable, and then go to Cursor in light mode, slowly, slowly, gradually ease in until you open a terminal, go full dark mode, go full dev."
Tactical:
  • Begin by creating a ChatGPT or Claude Project to act as a technical co-founder and architecture coach.
  • Experiment with web-based 'eager' coding tools like Bolt or Lovable for your first prototypes.
  • Transition to Cursor in light mode once you need full control over file structures and terminal commands.
"I think I graduated from each tool when I kind of outgrew it. So Bolt was awesome until I was trying to connect payments to my app and I kind of started losing it and then I graduated to Cursor and I've actually fallen in love with Claude."
Tactical:
  • Use Bolt or Lovable for projects where you want the AI to be 'eager' and start building immediately with a visual preview.
  • Graduate to Cursor or Claude Code when you need full technical ownership of the database and payments infrastructure.
  • Start complex technical changes in a chat-based 'plan mode' to ensure the architecture is sound before code is written.
"What I'll do is basically /review. This tells Claude to start reviewing its own code, but what's even cooler is I have Codex as well as Cursor open. I will have each of them review the code."
Tactical:
  • Use Claude for high-level communication, architecture decisions, and planning.
  • Assign deep debugging and complex technical troubleshooting to Codex.
  • Utilize Gemini for UI/design work and have all models cross-check each other's work for errors.
View all skills from Zevi Arnovitz →