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Building a Successful Business Online: Tips by CEO of Clonefluence, Justin Grome

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Justin Grome

Financial independence, being your own boss and having the creative freedom to bring your ideas to life, these are only some of the countless advantages of running your own business. But, as they say, nothing worth having comes easy and this stands true for entrepreneurship as well. Building a business can be tough, specifically in today’s era of digital technology. The world has shifted online and thus having a strong online presence is vital to ensure the success of any business. 

When it comes to building a successful business online, having a mentor who can  guide you through the confusing process of reaching the top serves as a blessing and who could be a better mentor than Justin Grome, the CEO of the leading marketing and social media agency, Clonefluence. 

Being one of the youngest successful serial entrepreneurs, Justin Grome is only 21 years old and runs one of the most successful businesses online, Clonefluence. Justin had always been a multi-tasker and by the age of 11 was a professional photographer as well as an iOS developer. By the time Justin turned 13, he had acquired the skill of online marketing and had become well versed with the importance of utilizing social media for the purpose of brand and business growth. 

To put his acquired skills to use and to bridge the existing gap between customers and the services provided by businesses, he set up Clonefluence in 2017. Clonefluence managed to become a big name in a short span of time. Till date the company has worked and collaborated with businesses like Walmart and NFL and renowned artists like Kendrick Lamar.

To give you a headstart and assist you in the process of taking your business to the next level, we’re here with some tips from the man himself, Justin Grome, the CEO of Clonefluence. 

 

  • Understanding social media is key

 

“Perhaps the biggest mistake many online businesses make is neglecting the importance of social media,” says Justin. According to the online business guru, it is practically impossible to grow an online business without a good social media presence. He thinks that as an online business, you’ve got to be everywhere and use all of the present social media outlets, so people are constantly reminded of your presence. Understanding how social media works and then putting that understanding to use is one thing that helped him grow his business tremendously, Justin states. 

 

  • Keep up with the technological trends 

 

According to Justin, if your business is based online, being up to date with the latest technological trends is the life line for your business. It is important to be at the top of your game and adapt to the changes as they come, or else your business will become irrelevant after a certain period of time. Justin ensures that the Clonefluence team is always updated on the latest tech trends, which is how the company manages to stay at the top. 

 

  • Focus on building relations

 

The Clonefluence team focuses on building trust based relationships with its customers. Justin Grome is of the opinion that at the end of the day, it’s the person at the other end of the screen who plays the biggest role in turning your business into a success. That is why it is vital to ensure that the clients know they can trust your abilities and the services you provide. Building and sustaining relations is something that has helped Justin’s company build a reputation for itself. He has worked with some pretty big names and every client has been satisfied with the services provided by Clonefluence. 

By applying these tips to your online business, you can turn it into a success story, just like Clonefluence! 

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.

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Business

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

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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.

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