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The Value Engine

Nico Hartwell

Most business leaders are burning cash on AI tools that deliver zero ROI. They buy the hype, implement random automation, and wonder why their bottom line isn't moving. Meanwhile, a small group of companies are quietly using AI to cut costs by 40% and boost productivity by 200%.

Nico Hartwell spent years building machine learning models for healthcare startups before launching his own AI consultancy. He's seen what works and what's just expensive theater. On The Value Engine, he breaks down exactly how real companies are using artificial intelligence to generate measurable returns.

Each episode focuses on one specific AI implementation with actual numbers. You'll hear about the warehouse that cut labor costs by $2 million, the marketing team that automated 80% of their workflows, and the consultant who 10x'd her client capacity using custom AI tools. Nico explains the tech without the jargon and shows you the spreadsheets that prove ROI.

No theoretical discussions or vendor pitches. Just real automation strategies that pay for themselves within 90 days. If you're tired of AI promises and want proven playbooks, this is your show.

Follow now for multiple new episodes daily.

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  • 105 episodes
  • Avg 14 min
  • English

Episodes 105

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  • Saturday · 15 min

    Why OpenAI Is Terrified of Voice Cloning (The $1B Industry They Missed)

    OpenAI just turned down multiple billion-dollar acquisition offers from voice AI companies. Their internal memos leaked, and the reason is shocking: they know voice cloning is about to create more millionaires than ChatGPT ever did. While everyone's obsessing over text-based AI, a quiet revolution is happening in voice technology. Companies are charging $1,500 per month for AI voice agents that cost $47 to build. The math is incredible, and OpenAI knows they missed the boat. Nico breaks down why voice cloning is the next goldmine and exactly how you can capitalize on it. The barrier to entry is lower than you think, the demand is exploding, and most people have no idea this opportunity exists. In This Episode: > Why the AI voice agent market will hit $11.9 billion by 2030 (23% annual growth) > How to build voice agents that handle 80% of customer inquiries automatically > The simple 3-step process to clone any voice with just 10 minutes of audio > Real case studies showing 300-400% ROI within six months > Why businesses pay $1,500+ monthly for something you can build for under $50 You'll discover the exact tech stack successful voice agent builders use, which industries are paying premium prices right now, and how to position yourself in this exploding market before it gets crowded. Timestamps: 00:00 OpenAI's voice cloning panic 02:15 The $11.9 billion opportunity 04:30 Building your first voice agent 07:45 Pricing strategies that work 10:20 Next steps to get started The voice AI gold rush is happening right now. Most people will realize it too late. Hit follow on The Value Engine for daily episodes on the AI opportunities hiding in plain sight. Nico drops new content every day. More episodes available at The Value Engine --------- Keywords: ai revenue, ai automation, business ai, ai implementation, automation success, workflow automation, ai marketing, zapier alternatives Learn more about your ad choices. Visit megaphone.fm/adchoices

  • September 4 · 13 min

    Shopify's Secret Weapon: The Bot Every Store Needs (But Won't Tell You)

    I tested a hypothesis: could I build a working Shopify chatbot in 13 minutes using a free template? The answer surprised me. Most e-commerce stores lose 85% of visitors within seconds because people can't find what they need. They bounce before ever reaching checkout. But what if your website could actually talk to customers, answer their questions, and guide them to the right products? Turns out, you can build this exact system using N8N (completely free for personal use, $20/month commercial) and a pre-built template that does the heavy lifting. No coding required. The setup is stupidly simple, but the results aren't. In This Episode: > Why traditional website search fails and how conversational AI fixes it > The exact 13-minute build process using the free template > Real conversion data from stores using this approach (spoiler: 20% average lift) > Where most people screw up the implementation and kill their results I walk through the entire build live, including the mistakes I made and how to avoid them. Plus, the specific prompts that make your bot actually helpful instead of annoying. The best part? This isn't some theoretical exercise. Multiple Shopify stores are using variations of this exact system right now. Timestamps: 00:00 Introduction 01:30 Why most website chat fails 03:15 N8N setup walkthrough 06:45 Template configuration 09:20 Testing and optimization 11:40 Real store results The template link is in the show description. Takes literally 13 minutes if you follow along. Follow The Value Engine for daily episodes on AI implementations that actually move the needle. Nico breaks down real automation wins with actual numbers, not vendor promises. More episodes available at The Value Engine -------------- Keywords: ai workflows, automation agency, ai entrepreneurship, no code automation Learn more about your ad choices. Visit megaphone.fm/adchoices

  • September 4 · 13 min

    Why OpenAI Employees Use This $50K RAG Strategy (Not What You Think)

    You know those $50,000 RAG chatbot implementations big corporations are bragging about? Turns out you can build something 90% as good for about $200 a month. Nico breaks down the exact three-tier approach that OpenAI employees are quietly using for their own projects. Spoiler: it's not what most consultants are selling, and it definitely doesn't require a six-figure budget. The RAG market is exploding toward $2.3 billion by 2027, but most companies are getting fleeced because they don't understand the cost structure. Legal firms are paying $15K for chatbots that process contracts, while similar solutions in other industries cost $3K. Same tech, different price tag. In This Episode: > The $200 no-code RAG setup that handles 85% of customer service queries > Why Pinecone plus OpenAI API beats expensive enterprise solutions > The compliance markup that's costing healthcare and legal 3x more > Real cost breakdown: what actually drives those $50K price tags Nico walks through three real implementations he's built, including the exact monthly costs and performance metrics. You'll see why the "premium" solutions aren't always better and how to spot when you're being oversold. The best part? He shows you the actual code and no-code workflows. No theoretical stuff, just working solutions you can deploy this week. Timestamps: 00:00 Introduction 01:30 The $50K RAG breakdown 03:45 Method 1: No-code approach 05:20 Method 2: Pinecone + OpenAI 07:15 Method 3: Custom implementation 09:00 Cost comparison analysis 10:30 Next steps Ready to stop overpaying for AI implementations? Follow The Value Engine for daily breakdowns of what actually works in artificial intelligence. Nico drops new episodes with real numbers and proven strategies multiple times per week. More episodes available at The Value Engine -------- Keywords: ai revenue, no code automation, ai transformation, ai workflows, ai automation Learn more about your ad choices. Visit megaphone.fm/adchoices

  • September 4 · 13 min

    I Tested OpenAI's Secret $2.4M Prompt Strategy. Here's What Happened.

    OpenAI just spent $2.4 million on a single prompt engineering strategy, and the results broke their own benchmarks. While most companies throw prompts at GPT and hope for the best, elite consultants are using specific frameworks that guarantee 60% better outputs every time. The prompt engineering industry exploded from zero to $500 million in 18 months. Top specialists now charge Fortune 500 companies up to $500 per hour for what looks like simple text instructions. But here's what they're not telling you: the techniques that separate $150/hour beginners from $500/hour experts aren't complicated. They're just specific. In This Episode: > The exact chain-of-thought framework that improves AI reasoning by 85% > Why multi-step prompting generates 3x more accurate responses than single queries > The hidden prompt structures that OpenAI's own engineers use internally > Real case studies from companies spending $200K annually on prompt optimization Nico breaks down the actual techniques behind those million-dollar consulting contracts. You'll see the before-and-after outputs, learn the specific prompt patterns that work across different AI models, and understand why most businesses are leaving massive performance gains on the table. This isn't theory. These are the proven frameworks that separate amateur AI users from professionals who build entire businesses around prompt engineering mastery. Timestamps: 00:00 The $2.4M OpenAI experiment revealed 02:30 Chain-of-thought prompting explained 04:45 Multi-step reasoning frameworks 07:20 Real consulting case studies 09:30 Implementation strategies 11:45 Next steps for advanced prompting If you're ready to stop guessing with AI and start using the techniques that actually work, follow The Value Engine. New episodes drop daily with specific strategies that pay for themselves. More episodes available at The Value Engine -------------- Keywords: automation podcast, automation strategies, ai tools, machine learning business Learn more about your ad choices. Visit megaphone.fm/adchoices

  • September 4 · 14 min

    Why 3 Clients Fired Me in 7 Days (And the $30K Lesson I Learned)

    Getting fired by three clients in one week isn't just embarrassing-it's expensive. For Nico Hartwell, it was a $30,000 wake-up call that transformed how he builds AI automation systems. Most AI agencies crash within 18 months because they make the same five critical mistakes. They overpromise timelines, underestimate complexity, and charge too little for work that should cost $15,000-50,000 per project. Meanwhile, 70% of automation projects fail because agencies try to fix processes that aren't even standardized yet. In This Episode: > Why Nico's "simple" 4-week automation took 6 months to deliver > The pricing mistake that cost him three clients and $30K in revenue > How to spot processes that aren't ready for automation (before you start building) > The real timeline for AI implementations that actually work > Why successful agencies charge 3-10x more than failing ones This isn't theory. Nico breaks down the actual client conversations, the technical roadblocks he hit, and the hard lessons that now save his consultancy from expensive mistakes. If you're building AI systems for clients or considering it, these failures could save you months of pain. Timestamps: 00:00 Introduction: The week everything went wrong 02:30 Client #1: The CRM integration disaster 04:45 Client #2: Why "simple" automation isn't simple 07:20 Client #3: The pricing conversation that ended badly 09:15 The five mistakes that kill AI agencies 11:30 What I do differently now Follow The Value Engine for daily episodes on AI implementations that actually generate ROI. Next up: How one warehouse cut labor costs by $2 million using computer vision. More episodes available at The Value Engine --------------- Keywords: ai revenue, ai entrepreneurship, make.com, business intelligence, workflow automation, business ai, zapier alternatives Learn more about your ad choices. Visit megaphone.fm/adchoices

Showing 101–105 of 105 episodes