Most advertisers lose money before their funnel even has a chance to work.

They send cold traffic straight to a landing page, hope people opt in, and then wonder why their ad spend disappears with nothing to show for it.

In this post, I’ll walk you through a different approach—one that combines Claude Code, VS Code, and simple interactive tools (like calculators) to dramatically improve ad efficiency, watch time, and conversions.

This is the same process I demonstrate in the video above, where I build a mortgage payoff / invest-vs-pay-down calculator from scratch using Claude Code inside VS Code.

Why Claude Code (and Why Inside VS Code)

Claude Code has exploded in popularity for one simple reason:

It’s extremely good at holding long instructions in memory and executing complex tasks step-by-step.

Instead of prompting an AI over and over in a web interface, Claude Code inside VS Code lets you:

• Work locally on your machine

• Switch between projects instantly

• See a clear execution plan before code is written

• Approve steps as they happen

• Iterate fast without losing context

Compared to tools like Codex or Gemini:

• Codex is great for small, tightly scoped tasks

• Claude excels at multi-step builds like full calculators or tools

That makes it perfect for building “value bombs”—simple tools that solve a real problem immediately.

The Core Idea: Replace Opt-Ins With Instant Value

Most funnels look like this:

Ad → Landing Page → Opt-In → VSL → Offer

And here’s where things break:

• 10–20% of users drop off during page load

• Only ~20% opt in

• Fewer watch the VSL

• Even fewer buy

That means you’re paying for traffic you never get to influence.

The Alternative Strategy

Instead, I run the VSL directly on the ad platform and send traffic to something useful immediately—like a calculator.

So the flow becomes:

Ad (Watch Time VSL) → Value Tool → Conversation → Offer

No gate. No friction. No wasted attention.

Why Calculators Work So Well

Calculators check every box for high-performing value tools:

• They’re easy to build

• They feel “custom” to the user

• They solve a real, urgent problem

• They work across industries

• They rank surprisingly well in Google

In the video, I use Calculator.net for inspiration and spot a mortgage payoff calculator with:

• ~47,000 searches/month

• Low competition

• High user intent

Instead of copying it, I use a Blue Ocean Strategy.

The Blue Ocean Twist: Pay Down vs Invest

Rather than building the same calculator everyone else has, I ask Claude:

“How can we make a similar calculator that answers a different question?”

The result:
A calculator that compares paying extra toward a mortgage vs investing that money instead, factoring in:

• Remaining loan balance

• Interest rate

• Extra monthly payments

• Expected investment return

• Capital gains tax

• Visual payoff vs growth charts

This is instantly more valuable than a generic payoff calculator—and perfect for:

• Real estate investors

• Financial advisors

• Mortgage professionals

• Lead-gen campaigns

How I Build It With Claude Code

Here’s the exact workflow I demonstrate:

1. Create a new project folder in VS Code

2. Open Claude Code inside the editor

3. Paste in high-level instructions (not language-specific)

4. Let Claude propose a full execution plan

5. Approve steps as it builds

6. Test locally in a browser

Claude handles:

• File structure

• Logic

• UI

• Charts

• Iteration

All in one flow.

No copy-paste chaos. No broken context.

Why This Crushes Traditional Funnels

Platforms like Meta reward watch time, not clicks.

When you run ads as content:

• The algorithm learns who actually pays attention

• Your ads get cheaper over time

• People self-qualify before ever clicking

Instead of losing 80% of users at each funnel step, you keep them on platform, warming them naturally.

By the time they reach your offer:

• They’ve already watched you

• Already trust you

• Already used your tool

This is how you turn $100 of ad spend into $100 of real attention, instead of $80 lost to page load and form friction.