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.

  1. há 2 h

    What Make.com's Top Users Know That Beginners Miss Completely

    Most Make.com users never touch HTTP modules because they look intimidating. Meanwhile, the power users are connecting to any API on the planet and automating workflows that others think require expensive custom development. Here's the reality: over 80% of modern web services offer REST APIs, which means you can integrate virtually any tool into your Make.com workflows using simple HTTP requests. Nico Hartwell breaks down exactly how to master this skill, covering everything from basic GET requests to complex authentication flows. The difference between beginners and advanced users isn't technical knowledge. It's knowing that HTTP status codes are standardized across all services, understanding how to read API documentation, and recognizing that services like Airtable, Notion, and Slack offer way more functionality through their APIs than through their native Make.com modules. In This Episode: > The five HTTP request types (GET, POST, PUT, DELETE, PATCH) and when to use each one > How to authenticate with APIs using headers, tokens, and OAuth flows > Reading HTTP status codes like 200, 404, and 500 to debug your workflows > Real examples connecting to popular APIs that don't have dedicated Make.com modules > Why API endpoints often provide data in better formats than native integrations Timestamps: 00:00 Why HTTP modules unlock Make.com's true power 02:15 Understanding REST APIs and HTTP request types 04:30 Setting up authentication headers and tokens 06:45 Reading and parsing JSON responses 08:20 Common status codes and error handling 10:30 Live demo: Building a custom integration This isn't about becoming a developer. It's about accessing the full capabilities of tools you're already paying for. Once you understand HTTP requests, every web service becomes a potential automation partner. Follow The Value Engine for daily episodes on AI automation that actually moves your numbers. Nico drops new content every day with specific implementations you can use immediately. More episodes available at The Value Engine ---- Keywords: automation roi, ai workflows, ai roi, ai entrepreneurship, zapier alternatives, ai consulting, automation success, ai cost reduction Learn more about your ad choices. Visit megaphone.fm/adchoices

    What Make.com's Top Users Know That Beginners Miss Completely
  2. há 3 h

    The $50K Automation Mistake You're Making Right Now

    You're hemorrhaging $50K a year on automation that breaks every other week. Nico Hartwell has watched hundreds of businesses make this exact mistake: they build complex Make.com scenarios with 15+ modules on day one, then spend months debugging when things inevitably fail. The solution isn't more advanced tools or better documentation. It's a simple iterative approach that reduces failure rates by 40% and saves you from expensive troubleshooting cycles. In This Episode: > Why starting with 2-3 modules beats building everything at once > The specific testing sequence Nico uses before adding complexity > How Make.com's 10 million daily operations reveal patterns in successful scenarios > Real examples of scenarios that work vs. ones that constantly break Most automation consultants will sell you on elaborate workflows from day one. Nico takes the opposite approach: build small, test everything, then expand. This method has helped his clients avoid the debugging nightmare that kills 60% of new automation projects. You'll hear exactly how to test each connection point, when to add new modules, and why the most reliable scenarios often look boring compared to what you initially planned. Timestamps: 00:00 The $50K automation trap most businesses fall into 02:30 Why complex scenarios fail (it's not technical debt) 04:45 The 3-step iterative testing process 07:15 Real Make.com scenario breakdown: simple vs complex 09:30 When to add modules and when to stop 11:45 Wrap-up and next steps If you're tired of automation that works for two weeks then breaks, hit follow. Nico drops new episodes on The Value Engine multiple times daily with proven strategies that actually stick. More episodes available at The Value Engine ------------ Keywords: ai automation, ai tools, business intelligence, automation roi, ai consulting, ai transformation, business automation Learn more about your ad choices. Visit megaphone.fm/adchoices

    The $50K Automation Mistake You're Making Right Now
  3. há 4 h

    Why Your Best Clients Leave After You Delegate

    Here's why 73% of automation agencies fail within their first 18 months: they build great systems for clients but have zero delegation processes internally. Nico Hartwell has seen this pattern destroy promising agencies. You scale fast, hire team members, then watch helplessly as your best clients jump ship because projects get botched during handoffs. The technical work is solid, but the human systems? Complete disaster. In This Episode: > The "tribal knowledge trap" that keeps you as the bottleneck in every project > Why documenting your process isn't enough (and what actually works) > The client communication framework that prevents 80% of delegation disasters > How to build quality control systems that scale with your team The data is brutal but clear. Agencies with proper delegation systems retain 89% of their clients during team transitions. Those without? They're lucky to keep half. And here's what most agency owners miss: your clients aren't paying for your personal touch. They're paying for consistent results. Nico breaks down the four mistakes that kill agencies during growth phases, plus the specific systems his consultancy uses to maintain quality across a team of 12 contractors. No theory here, just the actual processes that let him step away from day-to-day operations while revenue doubled. Timestamps: 00:00 The delegation disaster that cost one agency $180k 02:15 Mistake 1: Process documentation theater 04:30 Mistake 2: Skipping quality checkpoints 07:20 Mistake 3: Zero client communication during handoffs 09:45 Mistake 4: Not testing your systems before you need them 11:30 The delegation framework that actually works Follow The Value Engine for daily episodes on building profitable AI systems. Next up: how to price automation projects so clients actually say yes. More episodes available at The Value Engine ----------- Keywords: business intelligence, business process automation, automation agency Learn more about your ad choices. Visit megaphone.fm/adchoices

    Why Your Best Clients Leave After You Delegate
  4. há 5 h

    The $50K Web Scraping Mistake Your Team Makes Every Month

    Your team is probably burning $50,000+ annually on data collection tasks that could run automatically for pennies. Most companies hire virtual assistants or dedicate full-time employees to manually copying information from websites when a simple web scraper could handle it all. Here's the brutal truth: if you're still doing manual data entry in 2024, you're hemorrhaging money. A single Make.com web scraping automation can replace 40+ hours of human work per week and never makes mistakes or calls in sick. In This Episode: > How to build bulletproof web scrapers using Make.com's HTTP module that work even on JavaScript-heavy sites > The exact trigger setup that lets your scrapers run on autopilot (scheduled, webhook, or manual) > Why Make.com beats BeautifulSoup and Scrapy for business users who need results, not coding headaches > Real error handling strategies that prevent your scrapers from breaking when websites change > How one client automated their competitor price monitoring and saved 35 hours per week Nico walks through a live scraping scenario that collects product data from an e-commerce site, processes it through OpenAI for analysis, and dumps clean results into Google Sheets. No technical background required. Timestamps: 00:00 Why your manual data collection is costing you thousands 02:15 Make.com HTTP module setup walkthrough 04:30 Handling JavaScript and dynamic content 06:45 Building retry logic and error handling 08:20 Live scraping demo with real website 10:30 Scaling your scraper to handle thousands of pages Stop paying humans to do robot work. This episode shows you exactly how to automate data collection that actually works. Follow The Value Engine for daily AI automation strategies that pay for themselves in weeks, not months. More episodes available at The Value Engine ----- Keywords: process optimization, ai revenue, workflow automation, business process automation, zapier alternatives Learn more about your ad choices. Visit megaphone.fm/adchoices

    The $50K Web Scraping Mistake Your Team Makes Every Month
  5. há 6 h

    The $500K Mistake Freelancers Make on Upwork (I Did Too)

    $500,000 on Upwork. Most freelancers barely crack $500 per month on the platform, but Nico Hartwell built a six-figure business there before starting his AI consultancy. The crazy part? He made every mistake possible along the way. This isn't another "freelancing success story" with vague advice. Nico breaks down his actual progression from $15/hour gigs to $200+ per hour contracts, including the mental shifts that changed everything. You'll hear about the proposal strategy that boosted his acceptance rate by 40%, why he kept undercharging for months, and the client conversation that finally made him raise his rates. In This Episode: > Why custom proposals outperform generic ones by 40% (and the 10-minute research method that makes them scalable) > The rate progression strategy: how to move from $25/hour to $200+ without losing clients > Long-term contract tactics that pay 60% more per hour than quick gigs > The psychology behind why most freelancers stay stuck at low rates (and how to break free) The numbers don't lie: top 1% Upwork freelancers make six figures while the average person makes less than minimum wage. The difference isn't talent or luck. It's knowing which levers to pull and when to pull them. Timestamps: 00:00 Introduction: The $500K journey 02:30 Early mistakes and learning curve 05:45 The proposal system that changed everything 08:20 Rate progression and client psychology 11:15 Long-term contracts vs. quick gigs Whether you're just starting on Upwork or stuck in the low-rate trap, these strategies apply to any skill-based freelancing. Nico learned this the expensive way so you don't have to. Follow The Value Engine for proven business strategies that actually work. New episodes drop multiple times per week. More episodes available at The Value Engine --------- Keywords: machine learning business, ai consulting, make.com, ai cost reduction, automation strategies Learn more about your ad choices. Visit megaphone.fm/adchoices

    The $500K Mistake Freelancers Make on Upwork (I Did Too)
  6. há 8 h

    Why Most Make.com Users Are Leaving Money on the Table

    Most Make.com users build basic workflows and call it automation. They connect two apps, pat themselves on the back, and wonder why their business isn't scaling. Here's what they're missing: the real money is in complex, multi-step sequences that most people don't even know exist. One entrepreneur figured this out and built a $2.5 million business around workflows so sophisticated they look like magic to everyone else. Nico breaks down the exact Make.com strategies that generated these results. You'll see how advanced error handling prevents costly failures, why webhook sequences beat simple integrations every time, and the specific modules that separate six-figure automators from weekend hobbyists. This isn't about connecting your CRM to Slack. It's about building revenue-generating systems that work while you sleep. In This Episode: > The $2.5M workflow breakdown: customer onboarding to payment processing > Advanced error handling that prevents 15% of common automation failures > Why most users never discover Make.com's most powerful modules > Specific webhook sequences that scale to millions in revenue > The iterator functions that turn simple workflows into business engines Timestamps: 00:00 The $2.5M Make.com case study breakdown 02:30 Advanced error handling most users ignore 04:45 Webhook sequences vs basic integrations 07:15 Iterator functions that change everything 09:30 Scaling workflows to handle serious volume Make.com processes over 100 million operations monthly, but most users barely scratch the surface. The entrepreneurs making real money know exactly which features matter and which ones are just marketing fluff. Follow The Value Engine for proven automation strategies that actually move your bottom line. New episodes drop daily with real case studies and measurable results. More episodes available at The Value Engine -------- Keywords: process optimization, automation strategies, automation roi, automation mistakes, ai cost reduction, automation success Learn more about your ad choices. Visit megaphone.fm/adchoices

    Why Most Make.com Users Are Leaving Money on the Table
  7. há 9 h

    5 Things About Automation Agencies Nobody Warns You

    Most automation agency founders make the same five expensive mistakes. They price projects like traditional service businesses, chase any client who'll pay, and wonder why they're working 80-hour weeks for break-even profits. Nico Hartwell has seen this pattern repeat hundreds of times. After building ML models for healthcare startups and running his own AI consultancy, he knows exactly where new agency owners go wrong. The data is brutal: 67% fail within 18 months because they fundamentally misunderstand how automation businesses actually work. Here's what most people miss: successful automation agencies operate more like software companies than service providers. They focus on specific industries, charge recurring fees, and spend twice as much time on discovery as implementation. In This Episode: > Why the standard hourly pricing model kills automation agencies > The client red flags that predict project failure every time > How to structure retainers that actually scale your business > The industry specialization strategy that 3x's your profit margins > Why 90% of automation projects fail and how to spot them early Nico breaks down the real numbers behind profitable automation agencies. You'll hear about the pricing structures that work, the discovery frameworks that prevent scope creep, and the client qualification process that weeds out time-wasters before they become expensive problems. This isn't theory. These are the hard lessons learned from watching agencies crash and burn, plus the playbook used by the ones that scale to seven figures. Timestamps: 00:00 Introduction 02:15 Pricing mistake that kills cash flow 04:30 Client red flags you're probably ignoring 07:00 The retainer model that actually works 09:45 Why industry focus beats generalization 11:20 Wrap-up and next steps Follow The Value Engine for daily episodes on AI implementations that actually deliver ROI. More episodes available at The Value Engine -------------- Keywords: ai workflows, machine learning business, ai productivity, ai revenue, automation consulting, ai roi, automation podcast, no code automation Learn more about your ad choices. Visit megaphone.fm/adchoices

    5 Things About Automation Agencies Nobody Warns You
  8. há 10 h

    Why HubSpot Quietly Built This Email Tool (And Why You Need It)

    Most businesses collect email addresses the hard way: opt-in forms, lead magnets, hoping people actually subscribe. But there's a faster method that tech-savvy companies use to build massive contact lists from public business directories. The catch? It requires some technical know-how and careful legal navigation. Nico breaks down the automated systems that can pull thousands of business emails from platforms like Google My Business, Yelp, and industry directories. You'll learn the specific tools, the technical setup, and most importantly, the compliance frameworks that keep you out of legal trouble. In This Episode: > The web scraping stack that processes 5,000+ listings per hour > How to validate email addresses at scale (and why deliverability matters) > GDPR and CAN-SPAM compliance for automated collection > Real case study: How one agency built a 50K list in 30 days This isn't about spamming random businesses. It's about building targeted prospect lists for B2B outreach using publicly available data. Nico walks through the Python libraries, proxy rotation, and data cleaning processes that make this work without getting blocked or banned. Timestamps: 00:00 Introduction: The email collection problem 02:15 Technical setup and tool requirements 04:30 Building your scraping infrastructure 06:45 Legal compliance and best practices 09:20 Real-world implementation case study 11:15 Next steps and automation tips The methods Nico covers here typically cost $500+ per month through third-party services. But with the right technical setup, you can build the same system for under $50 monthly. 🔧 Ready to automate your lead generation? Follow The Value Engine for daily episodes on AI tools that actually move the needle. Nico drops new implementations every day with the exact technical details you need. More episodes available at The Value Engine -------------- Keywords: ai tools, ai marketing, ai entrepreneurship, automation strategies, ai implementation, ai roi Learn more about your ad choices. Visit megaphone.fm/adchoices

    Why HubSpot Quietly Built This Email Tool (And Why You Need It)

Sobre

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.