Connect with us

Business

How Did Jeff Lerner Make His Money?

mm

Published

on

Jeff Lerner made his money through starting multiple successful, helpful businesses. As of this writing he has more than 1 company on the Inc. 5000 with more on the way. He is the most successful, helpful trainer online.

More on Jeff Lerner and His Money Making Methods

Jeff Lerner is a guru in the field of internet marketing. His YouTube videos have been viewed millions of times and his website has earned him millions of dollars as well. In this article, we will look at what Jeff Lerner has done to set himself apart from others in the industry and why he is one of the trusted experts to turn to for business advice. Learn from him what makes good business sense and what he’s doing to create a business empire of his own.

About: Jeff Lerner is a business professional that has turned himself into an internet marketing guru. He has created his own line of products called “The Insider’s Guide to Making Money Online.” Price: Starting price: $37.

The best part about The Insider’s Guide to making money online is that it is the first and only product in history that is designed and developed exclusively for people who are already successful internet marketers. What this means is that you do not have to struggle through information overload or struggling beginners. In fact, all of the content is designed for experienced marketers who know what they are doing.

What’s more, you don’t have to be concerned with joining an internet marketing business opportunity, like many other people have tried and failed to make money online with. You see, the scam artists know how to make money online through pyramid schemes. Pyramid schemes are illegal in the United States and if caught, you could be imprisoned. However, in the case of Jeff Lerner, he was merely providing another internet business opportunity with the best training available online. It didn’t involve any illegal activity, and has been proven to make people money online.

This is what makes The Insider’s Guide to making money with digital-marketing training so unique and helpful. There’s no need to learn how to start your own business or even worry about investing your own money. The Insider’s Guide shows you step-by-step how to create a powerful online marketing business right from home using proven online marketing strategies. These strategies are tested by experts and professionals in the field everyday who have created millions of dollars of sales with their own online businesses. You can become one of them and join the very successful line of people who have made millions using these proven strategies.

What also sets The Insider’s Guide to making money with affiliate programs apart from all the others is its ability to teach you the most important aspect of making any type of money – driving targeted traffic to your website. The program teaches you the simple methods of driving traffic into profitable online ventures. It gives you tips on how to find profitable affiliate products to promote, what keywords to use and where to place them for optimum results, and the different ways of getting potential buyers to opt-in to your email list. The email marketing campaign also gets a good boost from this excellent guide.

The real strength of The Insider’s Guide to making money with affiliate programs is that it offers the best training on the market today. Its eight week action plan has been developed by experts who have years of experience building online businesses. It helps you get things right from the beginning, and explains everything you need to know in an easy to understand manner. In this program, you will receive step-by-step instructions on exactly how to make money with affiliate marketing. It is a positive step forward in the right direction to help you start and grow a profitable online business.

Jeff Lerner makes his money in part now by offering a number of helpful tools for internet business use, such as his famous ” millionaires club”. His team of online marketers are also worth looking into. His good thing about The Insider’s Guide to making money with affiliate programs is that it is a comprehensive guide that covers all of the bases and gives you a good start on your journey to making money on the internet. It is definitely worth checking out.

The idea of Bigtime Daily landed this engineer cum journalist from a multi-national company to the digital avenue. Matthew brought life to this idea and rendered all that was necessary to create an interactive and attractive platform for the readers. Apart from managing the platform, he also contributes his expertise in business niche.

Continue Reading
Advertisement
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Business

MetaWorx: Building Full-Stack AI Teams, Not Just Automation

mm

Published

on

Automation still dominates most headlines, yet the returns often fail to meet expectations. A sprawling chatbot rollout might shave a few support tickets, but it rarely shifts the profit-and-loss statement in a lasting way. 

McKinsey’s 2025 workplace survey pegs AI’s long-term productivity upside at $4.4 trillion, but only one percent of enterprises say they’ve reached true “AI maturity.” MetaWorx, a Dallas, Texas-based AI employee agency founded by Rachel Kite, argues that the shortfall has nothing to do with models and everything to do with people. 

“Treat AI like a point solution and you’ll get point-solution results,” shares Kite. “You need a roster that can carry the ball from raw data to governance, or the whole thing stalls at the proof-of-concept phase.”

The pod blueprint

When a plug-and-play automation script collapsed under real-world data drift, costing Kite a lucrative contract, she sketched the six-person “pod” that now anchors every MetaWorx engagement:

  1. An infrastructure architect to tame compute costs.
  2. A data engineer to secure and shape pipelines. 
  3. An applied scientist to prototype models against live feedback loops. 
  4. An MLOps engineer to automate rollback and retraining. 
  5. A domain product lead translates forecasts into features users actually notice. 
  6. Ethics and compliance analysts to stress test outputs for bias and keep the audit. 

The team’s first sprint still delivers a quick-win bot — “small enough to calm the CFO,” jokes Kite — but the roadmap quickly pivots to reliability, explainability, and eventually optimization. By tying every algorithmic decision to a quantifiable business metric, the pods turn AI from a science project into a growth lever. 

Recruiting for curiosity, not credentials

With Bain & Company predicting a global AI-skills crunch through 2027, MetaWorx has stopped chasing unicorn résumés. Instead, it hires “adjacent athletes”: a computer-vision PhD who hops from medical imaging to warehouse surveillance, or a former journalist who recasts her nose for story into prompt-engineering finesse.

“Domain expertise expires fast,” Kite says. “What doesn’t expire is the instinct to ask better questions.” The result is a lattice of overlapping skills that stays flexible when models wander into the long tail of edge-case data.

A culture of rapid experiments

Inside MetaWorx, every idea faces the same litmus test: ship something — anything — into a user’s hands within 21 days. The “three-week rule” forces prototypes into the wild early, where failure is cheap and feedback is swift. Post-mortems, including cost overruns, are circulated company-wide, erasing any stigma associated with missteps.

That laboratory mindset powers velocity. “Our first model is almost always wrong,” Kite admits, “but version 1.0 is the tuition we pay for version 2.0.” The philosophy echoes her TEDx talk on resilience: progress is iterative, not heroic.

How leaders can steal the playbook

Executives itching to replicate MetaWorx’s results don’t need a blank check. Kite offers a five-step sequence:

  • Inventory pain points, not tools: Walk the P&L line by line and tag the friction you can measure.
  • Map the stack to the problem: A recommendation engine, for instance, requires behavior data, retraining triggers, and feedback capture — automation alone won’t suffice.
  • Stand up a pod: Reassign existing talent into a cross-functional tiger team before hiring externally; the chemistry test is free.
  • Measure the story, not just the statistic: Pair model accuracy with human-scale metrics like ticket backlog or employee churn.
  • Budget for the boring: Reserve at least 30 percent of spend for MLOps and governance; Stanford’s HAI review links most AI failures to neglected upkeep.

Taken together, those steps shift AI from a pilot novelty to an operational habit that compounds value rather than topping out after an initial PR splash.

Character still scales faster than code

MetaWorx plans to double its headcount this year, yet Kite insists the secret isn’t a proprietary framework or a monster war chest. It’s credibility. Clients see a founder who has wrestled with the same outages and surprise bills they face. That authenticity converts skeptics faster than any algorithmic novelty.

“Tools level out,” Kite says. “Culture compounds.”

The insight lands in a marketplace still dazzled by generative fireworks. Yes, MetaWorx ships models and dashboards, but its true product is a mindset: resilience over rigidity, questions over credentials, experiments over edicts. In Kite’s world, automation is merely the appetizer. The main course is a full-stack team that knows why the model matters to the business and who owns its success after launch day.

And that, Kite argues, is how AI finally graduates from cost-cutter to growth engine, one curious pod at a time.

Continue Reading

Trending