I Made Money in 24 Hours Using AI

Introduction and AI Business Overview

Codie Sanchez tested over 500 AI tools and distilled them into a live, zero-to-paying-customer demonstration — plus the repeatable frameworks behind every step.

What This Guide Covers

Codie Sanchez isn't showcasing AI for its own sake. The goal is practical: pick the right tools, follow a clear process, and reach a real customer within 24 hours. Every tool she highlights comes with a transferable framework so you can apply the same logic to any business, not just the one demonstrated here.

Key promises she makes upfront:

• Reviewed 500+ AI tools to surface the ones that actually move the needle
• Demonstrates the full workflow live, from idea to paying customer
• Provides step-by-step frameworks you can reuse across industries

Why Most AI Advice Falls Short

Most AI content shows you what a tool does, not how to make money with it. Codie Sanchez's approach is different — she's "going from zero to a real paying customer" on camera, which means every tool shown has to justify its place in a real revenue workflow.

Finding What to Sell with Data

Before picking a product, find out what people actually want to buy — starting with an idea you love is the fastest path to a business nobody needs.

Start with Demand, Not Passion

Codie Sanchez sees the same mistake repeatedly: founders fall in love with an idea before confirming anyone will pay for it. Flip the sequence. Ask not "what should I sell?" but "what are people already searching for and buying?"

Two ways to surface that demand:

• Talk to a lot of people and collect hunches — slow and subjective.
• Use data from what people are actively searching for and purchasing — faster and more reliable.

The second route wins on speed and objectivity.

Use an AI Trend Spotter

Codie Sanchez's tool of choice here is Exploding Topics, an AI-powered platform that scans search traffic, social media, and online retail stores to surface rising products and business categories before they hit peak saturation. The output is a live feed of what the market is pulling toward — "what people are looking for" — rather than what any single founder guesses they might want.

Apply a Filter Framework

Raw trend data produces too many options. Codie Sanchez uses a personal framework to cut the list down to actionable picks. The framework's job is to take the wide field of "so many options" and narrow it to the ideas worth pursuing — evaluated against criteria like competition level, margin potential, and your ability to deliver.

The sequence looks like this:

1. Pull trending topics from Exploding Topics.
2. Run each through the filter framework.
3. Keep only the ideas that clear every gate.

"What do people want to buy?" is the only question that matters at this stage. Everything else — branding, pricing, fulfillment — comes later.

RRT Test for Business Ideas

Before building anything, Codie Sanchez runs every idea through a fast three-question filter called the RRT Test to separate businesses worth building from ones that aren't.

The Three Questions

The test takes under five minutes. For each idea, ask:

• Recession-resistant? Will customers keep spending even when the economy tanks? Think garbage collection, pet care, healthcare.
• Raise prices? Can you charge more without losing customers? Pricing power is instant margin.
• Technology leverage? Can AI or automation meaningfully improve margins or output?

"If the answer is yes to all three, you have a business worth building."

Applying It: Hands-Free Dog Leash

Codie Sanchez runs the test live on a trend she spotted — a hands-free dog leash showing surging search volume on TikTok and Pinterest, with roughly 30,000 monthly sales.

• Recession-resistant? Americans spend over $100 billion on pets each year, and that number has risen every year for a decade. Yes.
• Raise prices? Designer collars already sell at premium prices. There's clear room to charge more. Yes.
• Tech leverage? The leash itself stays simple, but AI tools can automate the entire advertising and sales process. Yes.

All three answers are yes — the idea passes.

Defining Your Customer Avatar

Before you build anything, you need to know exactly who you're selling to — and "everyone" or even "dog owners" is not an answer.

What an Avatar Actually Means

An avatar is the one specific person who sees your product and thinks, "this was made for me." Codie Sanchez draws a sharp line between two dog owners: an adult with a service dog and a teenager who convinced their parents to get a puppy. Same broad category, completely different needs, budgets, and buying triggers.

The counterintuitive rule: the more specific your avatar, the more money you make. Narrowing your target feels like shrinking your market, but it actually sharpens your message and drives conversions.

How to Describe a Real Avatar

Push past demographic labels. A tight avatar combines:

• A specific life stage or role (e.g., "first-time dog owner under 25")
• A concrete problem or desire they have right now
• The emotional trigger that makes them reach for their wallet

The test is simple — could two very different people fit your description? If yes, narrow it further.

Three AI Tools for Avatar Research

Codie Sanchez recommends starting with research before touching any build tools. Three AI tools, each with a distinct role:

• Perplexity — best for research; every answer comes with cited sources, so you sidestep the hallucinations that plague other models
• ChatGPT — strong at inference and ideation once you have data
• Claude — useful for drafting, reasoning, and refining copy

Start with Perplexity to gather real data about your target customer. Use it to find "answers with all of its sources cited" before layering on the other tools.

Using Perplexity, ChatGPT, and Claude

Codie Sanchez treats Perplexity, ChatGPT, and Claude as a three-part stack, each tool doing what it does best rather than one tool doing everything poorly.

Perplexity — Real-World Research

Perplexity is the starting point whenever you need sourced, factual data from the real world. It grounds the work before any drafting begins. Use it to pull market evidence, competitor data, or audience research you can actually cite.

ChatGPT — Fast Structuring and First Drafts

Think of ChatGPT as "a Swiss army knife — it can do everything pretty good." Once Perplexity returns research, feed it into ChatGPT to build a first draft quickly — define your customer avatar, structure your offer, and rough out copy. Speed and structure are where it earns its place.

Claude — Deep Reasoning and Quality Writing

Claude handles the synthesis step. Codie Sanchez feeds both the Perplexity research and the ChatGPT avatar draft into Claude and asks it to find the gaps between them. The result is a single, data-backed customer picture — in this case, a persona named Jordan, complete with demographics, purchasing habits, frustrations with normal leashes, and the influencers she follows.

Use Claude when:

• The quality of reasoning matters
• You need nuanced or polished writing
• You want to run AI agents

The three-tool flow looks like this:

Why the Avatar Matters

Every business decision that follows — landing page copy, product positioning, ad creative — runs through that avatar. Jordan's profile tells you what she buys, why standard leashes fail her, and what message will land. "No matter what company you have or trying to start, you have to build with an avatar in mind."

Building the Landing Page with Lovable

Codie Sanchez builds the landing page for her AI business using Lovable, a no-code tool that turns plain-English prompts into deployable web pages in minutes.

Starting with a Prompt

Rather than hiring a developer or wrestling with HTML, Codie Sanchez types a plain description of what she wants — the business name, the offer, and the core value proposition — directly into Lovable. The tool generates a full landing page from that single input.

Key elements she includes in the prompt:

• Business name and tagline
• The specific service being sold
• A call-to-action (e.g., "Book a call" or "Buy now")
• Target audience framing

Iterating on the Design

Once the first draft appears, she refines it by typing follow-up instructions the same way — no code required. Lovable treats each instruction as a new prompt and updates the page live. This loop is fast: most visual fixes take seconds.

The process flows simply:

Fixing Branding

After the structure is in place, Codie Sanchez focuses on making the page look credible — adjusting colors, fonts, and copy to match the brand identity she chose earlier. She notes you can instruct Lovable to "fix this with branding" and it will apply consistent visual styling across the page automatically.

Because the whole build happens inside Lovable's interface, she goes from zero to a live, shareable URL without touching a code editor.

Three Landing Page Conversion Principles

A landing page lives or dies on how quickly it makes a visitor feel understood — and Codie Sanchez uses a three-part branding framework to engineer that feeling before a single word is read.

The Villain, the Victim, and the Vow

Every brand story needs three characters:

• Villain — the problem your customer is fighting. Make it vivid and specific, like the germ mascots in cold-medicine ads.
• Victim — who your customer is before they find you. Show their frustration in concrete detail.
• Vow — the promise of life on the other side. Not features; a feeling.

For the hands-free dog leash brand, Codie Sanchez maps it directly: the villain is "every cheap and ugly dog leash she fights with on every walk," the victim is Jordan juggling a latte and her phone, and the vow is "the freedom to run without compromise."

Name the Brand to Carry the Vow

The name does branding work on its own. "Coast Dog Leashes" was chosen because it signals premium, evokes a beachy lifestyle, and literally tells customers they can coast on the walk. One word, entire identity.

Build the Logo with Prompt Engineering

Rather than briefing a designer, Codie Sanchez chains two AI tools together:

1. Give ChatGPT a simple brand direction.
2. Ask it to write a detailed, optimized prompt for an image-generation model (in this case, Imagen/Nano Banana Pro).
3. Paste that refined prompt into the image tool.

The ChatGPT prompt looks roughly like this:

Based on this brand's direction, write me a detailed prompt for a logo concept.
Brand: premium, hands-free dog leash for active women.
Aesthetic: clean, modern, outdoorsy — minimal line art, earth tones,
sage green, worn tan, off-white.

Codie Sanchez calls this "prompt engineering" and flags it as "the key step most people skip." Letting the models talk to each other produces far richer output than going straight to the image generator with a vague request. The result — a polished, minimal logo — would have taken a designer days and cost hundreds of dollars.

Brand Building with Villain, Victim, Vow

A compelling brand identity pulls together logo, copy, and emotional story into one coherent voice — and AI can generate all three in minutes.

From Logo to Full Brand Style Guide

Once a logo exists, Codie Sanchez feeds it straight back into the AI with a single prompt: produce a brand style guide. The output covers typography, color palette, tone, and usage rules — everything a designer or no-code builder like Lovable needs to make a site look intentional instead of amateur.

The style guide then becomes the input for the next step: paste it into Lovable and let it restyle the website automatically.

Writing Copy That Converts

The AI-generated headline for this dog-leash brand landed as "Walk your dog, hold your latte" — punchy, specific, and aimed squarely at one customer. That's the target: copy that names an identity, not just a product.

Strong brand copy hits three notes:

• Villain — the frustration or enemy (juggling a leash and a coffee)
• Victim — the person suffering it (busy dog moms)
• Vow — the promise of relief (hands-free freedom)

Codie Sanchez calls this the Villain / Victim / Vow framework. Every headline, product description, and review callout should map back to at least one of these three.

Social Proof as Story

The demo site surfaced a customer review from "Maya, 28, with Biscuit" that read: "I literally cried on my first hands-free walk. I forgot what it felt like to just walk and drink my coffee." Codie's reaction — "that's dramatic, Maya" — is the point. Emotional, specific, first-person reviews do more conversion work than any statistic. Curate them; feature them prominently.

One caution: the site displayed "25,000 happy dog moms" as a claim. Codie flagged it immediately — inflated social proof is "a lie" and a trust liability. Use real numbers or reframe the stat honestly (e.g., aggregate industry data).

The AI Loop in Practice

Logo → Brand Style Guide prompt → Lovable site restyle → Review & tweak copy

Each step feeds the next. The human job is taste and truth-checking, not production.

Creating Logo and Brand Style Guide

A polished logo and brand style guide give your business instant credibility — and AI can produce both in minutes. Codie Sanchez walks through getting a visual identity that looks like a real brand, not a side hustle.

Generating the Logo

Feed your brand name, niche, and one-line brand personality into an AI image tool (Midjourney, DALL-E, or Adobe Firefly all work). Ask for multiple variations — icon-only, wordmark, and combination lockup — so you have options for different surfaces like packaging, Instagram, and a website header.

Key inputs to include in your prompt:

• Brand name and tagline
• Target customer and vibe (e.g., "athletic women who run with their dogs")
• Colors you want to anchor to (Codie matched hers to a recognizable activewear palette on purpose)
• Style direction: minimal, playful, bold, earthy

Iterate fast. Reject anything generic and re-prompt with tighter adjectives until you get something "cute enough that I actually want to wear it on the trail."

Building the Style Guide

Once you lock a logo, prompt ChatGPT or Claude to produce a one-page brand style guide. Give it your logo description, your audience avatar, and two or three brands you admire. Ask for:

• Primary and secondary color palette (hex codes included)
• Typography pairing — one display font, one body font
• Voice and tone rules — three adjectives that describe how the brand sounds
• Do / don't examples — one sentence in brand voice, one out of brand voice

The output won't be perfect on the first pass. Watch for tells like long em dashes or inflated social proof numbers ("6,000 reviews" when you have none). Flag those, re-prompt, and fix them before anything goes live.

Why This Step Matters Before Writing Copy

Your style guide is the constraint that makes all future copy consistent. Every ad, landing page, and email should feel like it came from the same person. Without it, AI-generated content drifts — each piece sounds like a different brand. Lock the visual and verbal identity now so every output downstream stays on brief.

Writing Copy That Converts

Good copy sells the outcome, not the product — Codie Sanchez's rule is simple: people don't buy features, they buy what those features fix.

Lead With the Benefit

Before writing a single word, flip every feature into a felt result:

• "Happy dog lungs" — not "ventilated harness mesh"
• "Happy tail" — not "ergonomic rear attachment"
• "Built-in poop bag holder" — not "accessory storage loop"
• "Padded waist belt" — not "load-distribution system"

Shoppers skim. If the benefit isn't the first thing they read, they bounce.

The Bar Test for Headlines

Codie Sanchez uses a blunt filter: "If you can't say your headline over loud music at a bar and have someone immediately get it, it's too complicated." Clarity is not a nice-to-have — confusion kills conversions before a customer ever reaches the buy button.

Run every headline through these questions:

• Can a stranger grasp it in under three seconds?
• Does it name a problem or a desire, not a spec?
• Would you feel embarrassed reading it aloud?

If the answer to any of these goes the wrong way, cut and rewrite.

Using Jasper AI for Ad and Landing Page Copy

Generic AI outputs generic copy. Jasper AI addresses this with dedicated agents for ad copy and landing page copy — and the key differentiator is a one-time setup that makes every subsequent output on-brand.

Upload once:
  1. Brand voice document
  2. Customer avatar
  3. Style guide

After that, every prompt runs through those guardrails automatically. You're not re-explaining your tone on every session; Jasper remembers it. This matters because consistent voice builds trust, and trust converts.

Cold vs Warm Traffic Strategy

Where you send traffic — cold strangers or warm fans — determines which AI output you reach for first. Codie Sanchez treats these as two distinct briefs that require two distinct inputs.

Cold Traffic: Hook-First Ad Copy

For cold audiences who have never heard of the brand, the job is to stop the scroll before anything else. Codie feeds an AI tool the brand's cold traffic hook and asks it to build out the full ad from there. The result isn't generic copy — it's structured around the brand voice, the avatar profile, and a clear villain-victim-bow framework.

Key elements passed into the prompt:

• Avatar profile (who the ideal customer is and what they fear)
• The villain and victim framing (what they're fighting against)
• A pre-written cold hook to anchor the tone

Warm Traffic: Landing Page Alignment

For people already in the funnel, the landing page has to close. Codie gives the AI the same avatar profile and framework, then uses the output inside Lovable to build a page with a headline and sub-headline that "speak to our avatar." The result looks like a real brand — not a template.

The flow from brief to live page is straightforward:

Don't Lose the Customer at the Domain

A clean page can still fail before a visitor reads a word. Codie warns that most default domain choices hurt credibility — hyphenated names, number-stuffed handles, or cluttered .com workarounds "already feel off" the moment someone lands. The recommendation: consider a .online domain as the cleaner, more memorable alternative when the ideal .com is gone.

• yourhandsoffleash1279.com — erodes trust instantly
• pawfree.online — clean, readable, on-brand

The domain is the first brand signal cold traffic sees; getting it wrong undoes everything the AI copy built.

Using Jasper AI for Ad and Page Copy

Jasper AI helps you generate ad copy and landing page content that converts visitors into buyers without writing from scratch.

Setting Up Ad Copy with Jasper

Once a product, brand, and website are live, the next bottleneck is copy — the words that answer visitor questions and close sales. Codie Sanchez uses Jasper to move fast here. Jasper's templates let you input your product name, tone, and key benefits, then spin out:

• Headline variants for paid ads
• Short-form social captions
• Landing page body copy
• FAQ-style objection handlers

The goal is a site that looks like it was "built with intention, not assembled from leftovers" — and copy written to a consistent tone achieves exactly that.

Pairing Jasper with a Strong Domain

Before Jasper's output can do its job, the domain has to pull its weight. Codie Sanchez points out that the word online appears in "over 500 million monthly searches," so a .online domain gives copy-driven pages a built-in SEO head start. The combination — sharp Jasper copy on a memorable, search-friendly domain — compresses the time between launch and first sale.

The Workflow

The production sequence looks like this:

Each node feeds the next; none of them requires a professional writer or developer.

Quick-Start Domain Note

Major registrars — GoDaddy, Namecheap, Squarespace, Lovable — all carry .online domains. First-year pricing can drop to as low as 99 cents through promotional links, making the domain cost essentially zero relative to the revenue opportunity.

Automating Customer Service with Tidio

Customer response speed is one of the strongest predictors of revenue, and Tidio lets your website answer instantly — even while you sleep.

The Core Problem

Codie Sanchez puts it plainly: "money loves speed." The faster you reply to a potential customer, the more likely they are to buy. But no business owner can monitor live chat around the clock, and most are already leaving money on the table by responding hours too late.

What Tidio Does

Tidio is an AI-powered customer service tool that sits on your website as a live chat widget. It handles real-time questions by pulling from a knowledge base you build once:

• Return policy
• Shipping times
• Product details
• Frequently asked questions

Beyond answering questions, it acts as a salesperson — guiding visitors toward solving their problem and completing a purchase.

Setup in 20 Minutes

Codie Sanchez installed Tidio on her leash business website in about 20 minutes. The result: a customer landing at 11 p.m. and asking whether a leash will work for a 75-pound Bernese Mountain Dog gets an immediate, accurate answer — and a nudge toward checkout — without any human involvement.

The flow looks like this:

Building Your Knowledge Base

The knowledge base is the engine. Before you launch the widget, load it with every piece of information a customer might ask about. The more complete it is, the less Tidio needs to escalate — and the more sales it closes on its own.

First Order and Key Takeaways

The experiment worked: a real first order arrived within 24 hours, validating a business that used to take months and thousands of dollars to launch.

The Result

Codie Sanchez and her team went from idea to live sale in a single sitting — no agency, no developer, no large budget. The entire workflow: market research, brand naming, website, product copy, and launch, was compressed into one session using AI tools chained together with clear prompts.

The Honest Caveat

"AI is not a replacement for thinking" — Codie Sanchez is direct about this. Every tool in the stack only performed well because a human showed up first with a framework and a strategy. The initial outputs were rarely great; they required direction, refinement, and judgment.

AI is a "force multiplier on good thinking" — not a substitute for it. Garbage in still produces garbage out, just faster.

What Made It Work

• A structured process applied at each step, not open-ended prompting
• Willingness to iterate when the first output missed the mark
• Domain knowledge used to evaluate and edit AI output, not just accept it

Where to Go Next

Codie Sanchez compiled a full breakdown of the workflow, including the exact prompts used at every stage, linked in the video description. If any single step — naming, copy, competitor research, site build — felt unclear, that resource covers each one in depth.