Issue #82: Prompt System Generating 178x Returns on Facebook

Good morning.

An auto parts company just watched their ROAS jump from 4.63x to 178.29x.

From just one change: they swapped human-written ads for AI-generated creative.

That's a 39x improvement. Not 39%. Thirty-nine times better.

And they're not alone. A SaaS company quadrupled leads while cutting costs in half. An agency hit 450% ROI and slashed content creation time by 90%. E-commerce brands are seeing 58% drops in cost per purchase.

A simple AI systems can mine customer psychology at scale, test hundreds of variations in the time it takes you to write one headline, and learn from every click to get smarter with each campaign.

But AI isn't doing this alone. The difference between generic ChatGPT copy and campaigns that print money comes down to one thing:

The prompts and data you feed it.

In this issue, I'm giving you a simple 5-prompt system that's generating these results.

These aren't theoretical templates or academic exercises. These are tested-and-proven prompts pulled from campaigns that have generated hundreds, thousands, and millions in revenue.

— Sam

IN TODAY’S ISSUE 🤖 

• The 5-Prompt Campaign System that's generating 39x ROAS

• Customer Psychology Mining - Extract buying triggers from your data at scale

• Hook Generation Using Contrast Formulas - 10 scroll-stoppers in 30 seconds

• Copy Architecture Templates - Complete campaigns with [VARIABLES] to customize

• Creative Brief Generator - From copy to designer-ready visual direction

• Performance Analysis Loop - Feed results back to make your AI smarter

• The Stack: ChatGPT vs Claude, automation workflows, 2 days → 2 hours

Let’s get into it.

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Enjoy the full Cortex issue below, covering prompts for producing high-converting ads—not just for Facebook but any platform, including organic social posts, too (just tweak the prompts).

The Premise

The best AI prompts aren't creative. They're systematic.

Everyone's looking for that magic prompt, that perfect combination of words that will unlock ChatGPT's hidden genius. They're searching for creativity when they should be building systems.

The old approach was pure guesswork. Brainstorm in a meeting. Write five headlines. Pick the one that "feels" right. Launch. Hope. Pray to the algorithm gods. Maybe test two versions if you're feeling adventurous.

That model is dead.

The new approach treats AI like what it actually is:

A pretty big pattern-recognition engine that can process thousands of customer data points and generate hundreds of variations based on what actually works.

You feed it structure: 

Customer reviews, winning ad frameworks, psychological triggers, brand guidelines, performance data. 

The LLM processes this through systematic prompts (not random creative requests) and outputs variations that are already optimized based on proven patterns.

Think about it. When you ask ChatGPT to "write a Facebook ad," you're asking it to guess. 

When you feed it a structured prompt with your customer's exact language, their pain points extracted from 500 reviews, and instructions to use the PAS framework with urgency triggers…

Now you're giving it a blueprint for success.

Quick heuristic for you to memorize:

Treat it like a very eager junior assistant. You have to give it guidance.

It’s not the LLM that's special. It's the system you build around it.

My clients who are seeing real-world-revenue-going-up results are using ChatGPT with structured prompts, feeding it real customer data, testing systematically, and creating feedback loops where performance data improves the next generation of prompts.

Professionals have systems. Amateurs have ChatGPT open in a tab, typing "make this better."

In this particular issue, we’re looking at Facebook ads.

But as you’ll see, the prompts and frameworks can easily (and quickly) be adopted for other ad networks or organic social posts.

Look for the principles, frameworks, adjust the prompts, and you can use this for ANY messaging that needs to convert.

Core Framework: The 5-Prompt Campaign System

This is the engine that drives everything:

Five prompts. That's it. Five systematic commands that transform raw business data into high-converting Facebook campaigns.

Not random creative requests. Not "write me something catchy." But structured, engineered prompts that extract what works and scale it.

I've watched teams burn through $50,000 in ad spend using gut instinct. 

Then I've watched the same teams triple their ROAS in a month using this system.

Those who win stopped treating LLMs like a magic oracle and started treating it like what it is:

A sophisticated pattern-matching engine that needs the right inputs to generate the right outputs.

Here's how the system works:

Prompt 1: Customer Psychology Mining

This is where most campaigns fail before they even start. They write for who they think their customer is, not who they actually are.

Your customers are telling you exactly what they want. In reviews. In support tickets. In surveys. In comments. 

The problem is you can't read 5,000 reviews and extract patterns. An LLM can. In seconds.

The Prompt Template:

Act as a customer insights analyst specializing in [INDUSTRY]. 
Analyze the following customer data for [PRODUCT_NAME]: [PASTE DATA: reviews/tickets/surveys].

Extract and categorize:
1. The top 5 emotional pain points (what keeps them up at night)
2. The exact language they use to describe their problems (specific phrases)
3. The transformation they're seeking (before state → after state)
4. Psychological triggers mentioned (urgency, FOMO, social proof, authority)
5. Objections and hesitations that prevent purchase

Format as a table with columns: Theme | Customer Quote Example | Frequency | Marketing Application

Real Example Input: SaaS project management tool, 500 customer reviews

Real Example Output:

• Pain Point #1: "Always burning the midnight oil" (mentioned 87 times) - teams working late due to disorganization

• Transformation: From "drowning in tasks" to "finally have weekends back"

• Trigger: Social proof - "Everyone at [Company] uses this now"

• Key Objection: "Another tool to learn" (addressed by emphasizing 10-minute setup)

One agency fed 1,700 reviews through this prompt. The resulting ad copy outperformed their "creative" version by 4x. Because they stopped trying to be clever and started speaking their customer's language.

This is basic marketing 101. But the leverage came from feeding a model 500 customer reviews all at once for pattern detection.

Prompt 2: Hook Generation Using Contrast Formulas

The hook determines everything. If they don't stop scrolling, nothing else matters.

Most hooks fail because they're written for the business, not the scroller. This prompt forces AI to think in contrasts—before/after, problem/solution, old way/new way.

The Prompt Template:

Act as a direct-response copywriter who specializes in scroll-stopping hooks.
Create 10 Facebook ad hooks for [PRODUCT_NAME] that targets [AUDIENCE].

Use these psychological frameworks:
- 3 hooks using PAS (Problem-Agitate-Solution)
- 3 hooks using Before-After-Bridge contrast
- 2 hooks using FOMO/urgency triggers
- 2 hooks using social proof/authority

Requirements:
- First 7 words must create pattern interrupt
- Include specific numbers or timeframes where possible
- Use emotional language from this list: [PASTE EMOTIONS FROM PROMPT 1]
- Maximum 125 characters

Format: Number each hook and label its framework.

Real Example Output:

1. (PAS) "Still losing deals to missed follow-ups? You're bleeding revenue every day. Here's the fix..."

2. (BAB) "Last month: 60-hour weeks. This month: 40 hours with 2x output. The difference?"

3. (FOMO) "387 companies switched to [Product] this week. Here's what they know that you don't..."

4. (Social Proof) "How Amazon's top sellers manage 10,000 SKUs without hiring more staff"

The Dennis Carpenter auto parts campaign? Their winning hook used this exact formula and got a nice 39x ROAS improvement.

Prompt 3: Copy Architecture

This builds the complete ad structure. 

Headlines, primary text, descriptions, CTAs. All following Facebook's character limits and best practices.

The Prompt Template:

You are Facebook's highest-performing ad copywriter. Using this winning hook: [PASTE HOOK FROM PROMPT 2]

Create 3 complete ad variations for [PRODUCT_NAME] targeting [AUDIENCE].

For each variation include:
- Headline: Max 40 characters, benefit-focused
- Primary Text: Max 125 characters, expand on hook + key benefit
- Description: Max 20 characters, reinforce urgency or offer
- CTA Button: Choose from [Shop Now/Learn More/Sign Up/Get Offer/Download]

Context:
- Brand voice: [DESCRIPTION]
- Key differentiator: [UNIQUE VALUE]
- Offer: [DISCOUNT/TRIAL/BONUS]
- Social proof: [METRIC/TESTIMONIAL]

Variation focus:
#1: Emphasize problem/pain
#2: Emphasize solution/benefit  
#3: Emphasize social proof/FOMO

Real Example Output:

Variation 1 (Problem-focused):

• Headline: "Stop Losing 12 Hours Weekly"

• Primary Text: "Most teams waste 30% of time on task chaos. Our users get Fridays back. See how 5,000 companies escaped the mess →"

• Description: "Free 14-day trial"

• CTA: Start Free Trial

Variation 2 (Benefit-focused):

• Headline: "Ship Projects 2x Faster"

• Primary Text: "Turn your chaotic workflow into a streamlined machine. Average user saves 12 hours/week. Join 5,000 smart teams."

• Description: "No card required"

• CTA: Get Started

Notice how each variation attacks from a different angle? That's systematic testing of psychological triggers.

Prompt 4: Creative Brief Generation

Most campaigns die in the handoff between copy and creative.

You've got killer copy. Your designer gets it. Then they create something that completely misses the mark. 

Not because they're bad designers but because the brief was vague. "Make it pop" isn't a creative direction.

This prompt transforms your winning copy into a visual blueprint that any designer can execute.

The Prompt Template:

Act as a Creative Director at a top-tier performance marketing agency.
Transform this Facebook ad copy into a detailed creative brief:

[PASTE WINNING AD COPY]

Generate a creative brief that includes:

1. Visual Concept: Specific scene/setting/situation to depict
2. Emotional Tone: The feeling viewers should experience
3. Color Psychology: Primary colors and what they convey
4. Key Visual Elements: 3-5 specific objects/people/graphics to include
5. Text Hierarchy: What text appears where, in what size relationship
6. Eye Movement Flow: How the viewer's eye should travel through the ad
7. Format Recommendation: Static/Carousel/Video/Collection and why
8. Mobile Optimization: How it looks at phone scale

Include 2 creative variations:
- Safe version: Proven format that will definitely work
- Bold version: Innovative approach that could 10x performance

Make it specific enough that 5 different designers would create similar outputs.

Real Example Output:

For a project management SaaS (using the "Stop Losing 12 Hours Weekly" hook):

Safe Version:

• Visual: Split screen - left shows stressed person at messy desk at 9 PM, right shows relaxed person closing laptop at 5 PM

• Emotional Tone: Relief and possibility

• Colors: Dark blues/grays (left), bright greens/whites (right)

• Key Elements: Clock showing times, coffee cups (multiple vs. one), notification bubbles (many vs. few)

• Text Overlay: "12 Hours Back" in bold across the split

• Format: Static image for quick comprehension

Bold Version:

• Visual: Time-lapse GIF showing calendar pages flying off, stopping at Friday marked "FREE"

• Emotional Tone: Liberation and momentum

• Colors: Gradient from dark Monday to bright Friday

• Key Elements: Calendar, tasks checking themselves off, weekend activities appearing

• Text Overlay: Counter showing hours saved increasing

• Format: 3-second GIF for scroll-stopping motion

The Dennis Carpenter campaign that hit 39x ROAS used a GIF variation generated from a brief like this. Same copy as their static ad, but the movement caught attention. That single creative decision drove the entire performance lift.

Prompt 5: Performance Analysis & Iteration

This is where good campaigns become great campaigns.

Most marketers launch ads and watch metrics. The winners feed those metrics back into their AI system and let it identify patterns humans miss.

The Prompt Template:

Act as a data-driven performance marketing analyst with 10 years of Facebook ads expertise.

Analyze this campaign performance data:

Campaign: [CAMPAIGN_NAME]
Objective: [CONVERSIONS/TRAFFIC/AWARENESS]

Performance by Ad Variation:
[PASTE DATA - include CTR, CPC, CPM, CPA, ROAS, frequency, relevance score]

Ad Copy Used:
Variation A: [PASTE COPY]
Variation B: [PASTE COPY]
Variation C: [PASTE COPY]

Creative Format: [STATIC/VIDEO/CAROUSEL]
Audience: [DESCRIPTION]
Duration: [DAYS]
Spend: [$AMOUNT]

Your analysis tasks:
1. Identify the specific elements driving performance differences
2. Find patterns in winning vs. losing ads (words, structure, emotional triggers)
3. Explain WHY certain elements worked based on consumer psychology
4. Generate 5 new test variations based on winning patterns
5. Suggest budget reallocation percentages
6. Predict which untested angles could beat current winner

Format as:
- Key Insights (3 bullets)
- Winning Pattern DNA
- 5 New Variations to Test
- Next Steps Priority Order

Real Example Analysis:

Input: Three ads tested, Variation B outperformed with 3.8x ROAS vs 1.2x average

AI Output:

• Key Insights:

  1. Winner used specific timeframe ("12 hours weekly") vs vague ("save time")

  2. Social proof in first line ("5,000 companies") outperformed benefit-first approach

  3. Urgency without discounts ("joining this week") beat price-focused CTAs

• Winning Pattern DNA: [Specific Number] + [Social Proof] + [Timeframe] + [Transformation Result]

• 5 New Test Variations:

  1. "8,237 teams saved 10 hours this month. Your competition included."

  2. "Monday: 60-hour week. Friday: 40 hours, same output. 5,000 teams proved it."

  3. "Why did 500 companies switch yesterday? This 2-minute video explains."

  4. "Latest study: Our users get 2.5 days back monthly. Data from 10,000 teams."

  5. "Join the 12% of teams that finish projects early. Here's their secret."

This creates a learning loop. Every campaign makes the next one smarter. 

The SBG Funding campaign that got 4x more leads ran this analysis weekly, feeding winning patterns back into new creative. After 6 weeks, their CPL dropped 73%.

The agencies hitting 450% ROI are using LLMs to analyze why ads work, then systematically amplifying those patterns.

That's the complete 5-Prompt System. From customer psychology to creative brief to performance optimization. Each prompt builds on the last, creating a compound effect that transforms random acts of marketing into a scientific process.

How To Apply This Inside Your Business

The prompts work everywhere, but they need industry-specific tuning. 

Here's what's working:

SaaS / B2B

The money is in specificity. Generic "save time" messaging fails. "Save 12 hours weekly on invoice processing" wins.

Demo request campaigns using Prompt #3 with these variables:

• [SPECIFIC_METRIC]: "40% faster close rate"

• [AUTHORITY_PROOF]: "Used by 3 Fortune 500 CFOs"

• [TRANSFORMATION]: "From spreadsheet chaos to automated dashboards"

Lead magnet promotion template that's converting at 11%:

"The exact [FRAMEWORK] that [SPECIFIC_COMPANY] used to [SPECIFIC_RESULT]. No email required for first chapter."

Ecommerce

Cart abandonment campaigns generating 31% recovery rate:

Feed purchase history + abandoned cart data into Prompt #1. The AI identifies not just what they left, but why (price sensitivity, comparison shopping, waiting for payday).

Then Prompt #2 generates hooks that address the specific hesitation:

• Price sensitive: "Your items are reserved at this price for 24 hours"

• Comparison shoppers: "We compared for you—here's why customers choose us"

• Payday waiters: "Split into 4 payments, start enjoying now"

One fashion retailer saw 67% increase in recovered carts by segmenting abandonment reasons and using AI to write specific recovery messages for each.

Agencies

Authority-building through micro case studies. Instead of long PDFs nobody reads, AI transforms wins into ad copy:

Prompt: Transform this case study data into a Facebook ad that builds authority:
- Client: [INDUSTRY] company
- Challenge: [SPECIFIC_PROBLEM]
- Solution: [WHAT_WE_DID]
- Result: [METRIC]
- Timeframe: [DURATION]

Create 3 versions:
1. Metric-first (lead with the number)
2. Problem-first (lead with the pain)
3. Transformation-first (before/after story)

One agency tested all three formats. Metric-first won for B2B. Transformation-first won for B2C.

Local Services

Geo-targeting with local proof. The prompt modification that's working:

Add to Prompt #3:

"Include local reference [NEIGHBORHOOD/LANDMARK/LOCAL_EVENT] and mention [LOCAL_COMPETITOR] without naming them directly"

Example output that converted:

"Unlike the other guys on Main Street, we actually show up on time. Ask anyone in Riverside—we've been their emergency plumber for 20 years."

A law firm used this approach with:

"While big downtown firms charge consultation fees, we offer free case reviews for Springfield families."

CTR increased 4x over generic messaging.

Actual Prompts (Copy-Paste Ready)

Here are the exact prompts generating these results. 

Variables in [BRACKETS], fill with your data:

The Money-Printing Ecommerce Prompt:

You are a conversion-focused copywriter for [STORE_NAME] selling [PRODUCT_TYPE].

Our customer data shows:
- Average order value: $[AOV]
- Main hesitation: [FROM_REVIEWS]
- Competitor comparison point: [DIFFERENTIATOR]

Write 5 Facebook ads for our [SALE_EVENT/PRODUCT_LAUNCH].

Each ad must:
- Open with pattern interrupt related to [CUSTOMER_PAIN_POINT]
- Include specific discount/offer: [OFFER_DETAILS]
- Reference urgency: [DEADLINE/SCARCITY]
- End with benefit-focused CTA

Format: Number, then Headline | Primary Text | CTA
Use customer language from these reviews: [PASTE_TOP_5_REVIEWS]

The SaaS Demo-Getter:

Context: [COMPANY] offers [SOFTWARE_TYPE] for [TARGET_ROLE] at [COMPANY_SIZE] companies.

Current demo bottleneck: [OBJECTION_FROM_SALES_TEAM]
Success metric: [KEY_RESULT_FROM_CASE_STUDY]
Competitor weakness: [THEIR_LIMITATION]

Create Facebook ad copy that:
1. Disqualifies bad fits upfront (mention [REQUIREMENT])
2. Calls out specific problem [TARGET_ROLE] faces daily
3. Promises specific outcome with timeframe
4. Includes "Book demo" CTA with incentive

Write 3 variations:
- Pain-focused (agitate the daily frustration)
- Gain-focused (paint the dream outcome)
- Proof-focused (lead with client result)

Common Mistakes to Avoid:

1. Feeding garbage data - "Write an ad for my product" gets garbage output. Feed customer language, specific metrics, real problems.
   

2. One and done - The magic is in iteration. Run Prompt #5 after every campaign. Feedback goes back in.

3. Ignoring character limits - Facebook will truncate your beautiful copy. Always include limits in prompts.

4. Missing the human layer - AI writes the draft. Humans add brand voice, cultural nuance, and sanity checks.

5. Testing everything at once - Test copy with constant creative, then creative with constant copy. Isolate variables.

Next week, one of these examples could be yours. But only if you stop reading and start implementing.

The Stack: Tools & Integration

Core Tools

Let's get practical about what you actually need to make this work.

ChatGPT-4o/5 vs. Claude 4 Sonnet

They're not the same tool. They excel at different things. Use them wrong, and you're leaving money on the table.

ChatGPT-4o/5 is your analytical workhorse. It's better at:

• Initial audience research and pattern recognition

• Structured data analysis (feeding it CSVs of customer data)

• Generating high-volume variations for testing

• Breaking down competitor ads into components

Claude 4 Sonnet is your creative specialist. It's better at:

• Maintaining brand voice across long copy

• Processing massive amounts of unstructured text (like 5,000 reviews at once)

• Nuanced emotional copy that feels human

• Refining and polishing final drafts

The workflow that's generating the best results: 

ChatGPT for research and ideation → Claude for final copy generation and refinement.

One agency tested this split workflow against using just one model. The two-model approach beat single-model by 31% on CTR. Why? Each tool plays to its strengths.

Creative Tools

Once AI writes the copy, you need visuals. 

The stack that's working:

• Canva for rapid static ads (2 minutes from copy to published)

• Figma for design systems that scale across campaigns

• DALL-E 3 / Midjourney for unique product shots and backgrounds

• Runway for quick video generation from scripts

Create templates first. One template, infinite variations. The Dennis Carpenter 39x ROAS campaign had one GIF template. AI wrote 20 copy variations. Mixed and matched. Found the winner.

Automation Layer

This is where 2-day campaigns become 2-hour campaigns.

Zapier/Make Workflows That Print Money:

1. The Review-to-Ad Pipeline

   • Trigger: New batch of reviews hits 50

   • Action: Send to ChatGPT via API

   • Prompt: Extract top 3 emotional themes

   • Action: Generate 5 ad variations

   • Action: Push to approval queue in Slack

   • Time saved: 4 hours per campaign

2. The Performance Feedback Loop

   • Trigger: Daily at 9 AM

   • Pull: Yesterday's Meta Ads data

   • Send: Performance data to Claude

   • Generate: Optimization recommendations

   • Create: New test variants based on winners

   • Notify: Team in Slack with priorities

   • Time saved: 2 hours daily

3. The Competitor Monitor

   • Trigger: Competitor launches new ads (via Facebook Ad Library)

   • Analyze: Copy and creative approach

   • Generate: Counter-positioning angles

   • Alert: Strategy team with response options

   • Time saved: Catches opportunities you'd miss

Use n8n for complex workflows. One agency built a 47-step automation that takes product feed → customer data → market research → complete campaign. Runs weekly. Generates $300K in client revenue per month.

Human-in-the-Loop Optimization

AI doesn't replace human judgment. It amplifies it.

The winning formula looks like this: 

AI generates 100 options → Human selects 10 best → AI refines those 10 → Human picks final 3 → Launch all 3 → AI analyzes results → Human makes strategic decision → Repeat.

Critical human checkpoints:

1. Brand voice check - Does this sound like us?

2. Legal/compliance review - Can we actually say this?

3. Cultural sensitivity - Will this land wrong?

4. Strategic alignment - Does this support our positioning?

5. Sanity check - Is the AI hallucinating benefits?

The agency that hit 450% ROI has a simple rule: AI writes, humans decide. Every piece of copy gets human eyes, but humans don't write from scratch anymore.

Scaling from 1 to 100 Campaigns

One campaign working? Here's how to scale:

The Multiplication Method:

1. Take your winning campaign

2. Extract the pattern (Prompt #5)

3. Create a "meta-prompt" with that pattern

4. Generate variations for:

   • Different products (same pattern, new application)

   • Different audiences (same product, new angle)

   • Different formats (same message, new medium)

   • Different seasons/events (same strategy, new hook)

Example: A supplement brand found their winning pattern was "specific timeframe + specific result + scientific backing."

They turned that into a meta-prompt template and generated:

• "7 days to better sleep (Harvard study)"

• "14 days to sharper focus (MIT research)"

• "21 days to lasting energy (Stanford trial)"

Each campaign took 15 minutes to adapt. All followed the proven pattern. Average ROAS: 4.2x.

The Network Effect

Every campaign teaches the system. 

Document what works in a prompt library:

• Winning hooks by industry

• Proven CTAs by objective

• Emotional triggers by demographic

• Objection handlers by product type

Six months in, you're not starting from scratch. You're starting from proven templates that get smarter with every launch.

One agency managing 50+ accounts built a shared learning system. Anonymous performance data feeds back into their prompt library. Every client benefits from every other client's tests. Their newest clients launch at 2x the ROAS of clients from a year ago.

That's leverage and scale. That's the difference between using AI and building an AI system.

Your Next Step

Here's the truth: You'll read this issue. You'll think "that's interesting." You'll bookmark it for later. And nothing will change.

Or.

You'll pick ONE prompt. Right now. Test it this week. And potentially transform your entire approach to Facebook advertising.

The choice is that binary.

Start here:

Step 1: Pick Your Lowest-Hanging Fruit

What's your biggest Facebook ads pain point right now? If not Facebook, what other ads or organic post?

• Hooks not stopping scrolls? Use Prompt #2

• Copy feeling generic? Use Prompt #1 to mine customer language

• Good copy but poor visuals? Use Prompt #4 for creative briefs

• Decent performance but not improving? Use Prompt #5 for analysis

Don't try to revolutionize everything. Pick one problem. Apply one prompt.

Step 2: Run Your Test This Week

Not next month. Not when things calm down. This week.

Take your best-performing product. Your most reliable audience. Your current control ad. Now create ONE AI-generated challenger using the prompts from this article.

Same budget. Same audience. Same campaign objective. Let them fight.

Step 3: Feed Results Back

Win or lose, you learn. That's the point.

Ad bombed? Run Prompt #5 to understand why. 

Ad won? Run Prompt #5 to understand why and amplify what worked.

Every test makes your next test smarter. That's how compound improvements happen.

Step 4: Build Your System

Once you see results from one prompt, add another. Then another. Within 30 days, you can have all five prompts integrated into your workflow.

Document what works. Save winning templates. Build your prompt library. Create your feedback loops.

Six months from now, you'll either have a system that's getting smarter every week, or you'll still be writing headlines from scratch wondering why your ROAS is flat.

This isn't about AI replacing marketers or entrepreneurs. Never was.

Here at Bionic Business, it’s only about how you can leverage AI to grow and scale.

All you do is start simple:

One prompt. One test. One week.

That's all it takes to start.

Will you be talking about AI or using it?

Will you be worried about what might go wrong or excited about what could go right?

Will you test one prompt this week or watch your competitors pull further ahead?

The prompts are sitting right here in this article. Copy-paste ready. Proven to generate revenue.

You could literally copy Prompt #2, fill in your product details, and have 10 new hooks in the next 60 seconds.

You could take your last month of customer reviews, run them through Prompt #1, and discover insights your competition doesn't have.

You could feed your recent campaign data into Prompt #5 and identify optimization opportunities you're missing.

Or you could close this article and go back to whatever you were doing before.

Don't just be a reader. Be an implementer.

Pick one prompt. Set a timer for 30 minutes. Run it. Review the output. Create one ad. Launch it with a $50 budget.

That's it. Total time investment: 30 minutes. Total financial risk: $50. Potential upside: Unlimited.

If it doesn't work, you've lost less than a decent dinner.

If it does work—and the data says it will—you've found your next growth lever.

The AI gold rush isn't coming. It's here. Right now. And the prospectors who stake their claims today will be the ones telling success stories tomorrow.

Your move.

Until next time,
Sam Woods
The Editor

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