I Used ChatGPT, Gemini and Claude to Launch a Side Hustle That Pays Me $150K/Year

The ChatGPT Side Hustle Stack That Turned $0 into $150K with No Outreach

Artificial intelligence tools aren’t just assistants anymore—they’re infrastructure. I used them to build a product, validate it, brand it, launch it, and scale it—all without hiring a team or sending a single cold email.

What started as an idea on a weekend turned into a full-time income in under 60 days. I didn’t code, design, or advertise traditionally. I just used the right AI in the right order.

Here’s the full workflow—tools, prompts, what worked, what didn’t, and how you can replicate the same approach starting today.

How ChatGPT, Claude, and Gemini Split the Work

Each chatbot has a different edge. The key is not choosing one—but building a system around all three.

• ChatGPT (GPT-4): Structure, formatting, onboarding emails, positioning
• Claude AI: Tone, empathy, longform storytelling, landing page copy
• Gemini: Research, validation, comparison, competitive angle

Instead of over-optimizing prompts, I optimized flow. I delegated each task to the AI that was naturally best at it.

Example:

I gave Gemini the task:
 “List 10 underserved problems faced by early-stage SaaS teams, with evidence and examples.”

Then I passed the best 3 options to Claude:
 “Write a human story from the perspective of a founder who struggles with [insert problem] and discovers a new solution.”

Finally, I had GPT-4 turn it into a landing page:
 “Use this story to create a structured homepage that builds trust, urgency, and clear CTA for founders.”

That process alone replaced $5K in copywriting and strategy work.

Why Most AI Users Stay Stuck

Most people treat AI tools like search engines or joke machines. But when you start treating Claude like your CMO, ChatGPT like your PM, and Gemini like your analyst, the game changes.

I built the entire customer journey—from problem validation to sale—inside Chatronix, where I could run all three models in one interface, test them against each other, and move fast.

How I Used Chatronix to Replace My Stack

There’s a reason I didn’t use ChatGPT’s native interface. It’s great for linear thinking—but terrible for switching between models or comparing outputs. I used Chatronix.ai as my creative workspace, strategist bench, and performance lab.

So I ran everything inside Chatronix.

Chatronix gave me:

• GPT-4, Claude, Gemini, Perplexity, Grok, DeepSeek
• All in one workspace
• No tab switching, no context loss
• Saved prompt stacks
• Side-by-side model runs
• 10 free requests a day
• Built-in Turbo Mode for multi-prompt testing

This setup let me treat the entire process like an AI team, not just an AI tool.

Table: AI Task Delegation Breakdown

This isn’t a one-model setup. It’s orchestration.

My Favorite Claude Prompt for High-Trust Copy

Claude excels at writing like a real person. Here’s the prompt I reused every day:

“You’re a founder-turned-writer. Write copy that sounds like you’re talking to a peer over coffee. Use this input: [insert raw idea]. Avoid hype. Lead with the problem. End with a clear, calm offer.”

This prompt built my email list. And helped me land my first 17 sales with a simple one-pager.

My Gemini Prompt That Validated Product-Market Fit

Before I wrote a word of copy, I used this:

“List 5 specific frustrations faced by [my target user] when using [competitive solution]. Pull examples from Reddit, X, and Quora. Then compare them against [my idea] to highlight differentiation.”

Within minutes, I had real quotes, screenshots, and contrast language for copywriting.

I used those insights to build urgency without faking scarcity.

What I Automated With ChatGPT

Once the positioning and tone were locked in, ChatGPT helped me automate:

• 3-email onboarding flows
• Welcome sequences
• Cancelation winbacks
• A/B tested subject lines
• Lead capture forms
• Product descriptions
• Voice-tuned FAQ

It’s not that ChatGPT is the most emotional writer—it’s that it’s consistent and fast. Especially when the context is clear.

The Mistake Most Founders Make With AI

They test prompts.
 They don’t build systems.

They expect one AI to do everything.
 They don’t use models in parallel.

They keep trying to “make ChatGPT sound human”
 instead of starting with Claude and polishing with GPT.

Most important:
 They write copy and THEN ask AI to improve it—
 instead of prompting AI to build the first version, and then iterating from there.

AI isn’t a post-production tool.
 It’s a co-writer, strategist, and builder.

Bonus Prompt Stack: The One That Wrote My Entire Sales Page

Paste this into Chatronix and run it through Claude first, then GPT-4:

“You are a founder who built a product out of frustration. Your landing page should explain the backstory, the core benefit, and the offer. It should feel like an honest conversation. Write the top half of a landing page for [insert product]. Use no jargon. Add a clean CTA.”

Then pass it to GPT-4:

“Refactor this copy for structure. Add headline hierarchy, CTA clarity, and short sections. Keep the tone exactly the same.”

That sequence worked better than anything I wrote myself.

Taplio

Final Thought: Claude for Trust. Gemini for Proof. ChatGPT for Conversion.

This is the most valuable thing I’ve learned:
 Don’t try to make one AI do everything.

Just like you wouldn’t ask your designer to write your email funnel, you shouldn’t expect Claude to replace Gemini’s research, or Gemini to out-write Claude emotionally.

Instead, use Chatronix to test, compare, and combine them.
 You’ll finish faster, ship better, and sell more.

You don’t need code. You don’t need outreach.
 You need systems.

And the AI team that lives in Chatronix is how I built mine.