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I put the 5 best AI prototyping tools to the test with Magic Patterns CEO Alex Danilowicz
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I put the 5 best AI prototyping tools to the test with Magic Patterns CEO Alex Danilowicz

We show you the best tool + the exact workflow to prototype like a pro

Check out the conversation on Apple, Spotify and YouTube.

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  3. Kameleoon: Leading AI experimentation platform

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Today’s Episode

With AI prototyping firmly establishing itself as one of the most important new tools for PMs, the question arises:

What is the best tool?

Today, I did a live bake off of the 5 best AI prototyping tools: V0. Magic Patterns. Replit. Lovable. Bolt.

And I did it with a true expert and amazing guest - Alex Danilowicz.

Alex Danilowicz built Magic Patterns to $1M in revenue in 6 months, and they just raised a $6M series A.

After the bakeoff, Alex shares the exact workflow the best prototypers use.

Consider this an advanced course in AI prototyping.

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Today’s guide covers:

  1. The Live Face-Off

  2. The 4-Step Prototyping Workflow

  3. How AI PMs Should Use Prototyping


1. The Live Face-Off

We put 5 AI prototyping tools to the test. Same prompt. Same prototype.

1a. What We Built

A consumer-facing workflow builder like N8N or Zapier, inspired by ChatGPT’s newly released Agent Kit.

Alex used Magic Patterns. I used V0, Replit, Lovable, Bolt, and Cursor simultaneously.

We graded on UX, speed, functionality, and iterations.

1b. The Results

Winner: V0 (3.7) - Best balance of speed, functionality, UX
Second: Magic Patterns (3.6) - Fastest to first prototype, best iterations
Third: Replit (3.5) - Nice ChatGPT entry, prompted for OpenAI key
Fourth: Lovable (3.4) - Dark mode default, janky entry
Fifth: Bolt (2.4) - Dragging didn’t work
Disqualified: Cursor + Claude Code - Too slow

1c. The Key Insight

Different tools for different jobs:

Magic Patterns = Visual prototyping, user research, design system integration

V0/Replit/Bolt = Full-stack functionality, real APIs, backend

If you don’t actually need to hook up Supabase but you’ve spent 2 hours debugging it, you might have wanted to use Magic Patterns instead.

—Alex


2. The 3-Step Prototyping Workflow

Here’s Alex’s exact workflow for prototyping like a pro.

Step 1: Set Up Your Design System (If Needed)

If sharing with customers or executives, set up your preset first.

For Magic Patterns, use their Chrome extension on:

  1. Your production website

  2. Storybook

  3. Figma (via screenshot)

Example: Alex showed Stripe’s Storybook → clicked extension → selected button → “Convert to Component” → now available in every prompt.

The extension converts raw HTML to Tailwind automatically.

If you’re just validating internally, skip this and use the base preset.

Step 2: Gather Context Before Prompting

Don’t start with a blank prompt.

Put together things like:

  1. Jira tickets

  2. PRDs

  3. Competitor screenshots

  4. Customer feedback

Alex used ChatGPT to create his master prompt: gave it an Agent Kit screenshot and said Create a Magic Patterns prompt.

Pro tip: Power users use ChatGPT/Claude to write their Magic Patterns prompts first.

Step 3: Iterate Specifically

The #1 mistake people make is vague prompts.

  • Bad: “Make it better” or “Update the button”

  • Good: “Move the toast to top-left and make it green”

Use select mode, click the exact element you want to change.

People forget it can’t read your mind. What button are you talking about?

—Alex


3. How AI PMs Should Use Prototyping

AI prototyping changes the PM workflow completely.

3a. The New Workflow

Old way:

  1. Write PRD (days)

  2. Align stakeholders (multiple meetings)

  3. Build

  4. Ship and pray

New way:

  1. Build AI prototype (30 minutes)

  2. Share link to align stakeholders (1 meeting)

  3. Test with customers

  4. Iterate based on feedback

  5. Write PRD informed by learnings

  6. Build validated solution

The prototype becomes your alignment tool. No more abstract debates.

Alex: I’ve heard from folks, I used to spend 15 meetings aligning stakeholders, but now they just share the Magic Patterns link.

3b. Why This Cuts Your Failure Rate

80% of features don’t hit their metrics. You’re building blind.

AI prototyping lets you validate:

  1. Usability

  2. Business viability

  3. User value

  4. Drop-off points

  5. Corner cases

Before, you could only do this for your biggest features (required designer time). Now you can do it for every feature.

3c. Top 5 Mistakes to Avoid

  1. Not using select mode - Click the element, then prompt

  2. Doom looping - Use /debug command or restart fresh

  3. Not reading AI output - The AI is telling you its approach

  4. Not setting up preset first - 5 minutes upfront saves hours later

  5. Wrong context upfront - Gather PRDs, screenshots, references before building

Get Transcript



Where to Find Alex Danilowicz


Related Content

Podcasts:

  1. Cursor Tutorial

  2. Windsurf Tutorial

  3. AI Prototyping Tutorial

Newsletters:

  1. AI Agents: The Ultimate Guide for PMs

  2. Ultimate Guide to AI Prototyping Tools

  3. How to Land a $300K+ AI Product Manager Job


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