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Taking the cannabis industry above the skies is Allen “Blue” Semerjian, a leading lifestyle entrepreneur

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His company La Fav Farms has gained great momentum in a short period as a cannabis brand in LA.

Cannabis as an industry is gaining much momentum from the past few years; some people have even become obsessed with cannabis, some of them still do not know the calming high it can give them, some of them are still unaware of the various medicinal benefits that cannabis can have on health, and some of them only are aware of the negativities surrounding it. However, the truth is that the cannabis industry is only becoming more and more popular with many youngsters setting foot into the same and offering products that give the best experiences to people. One such young business personality is Allen “Blue” Semerjian, who is making waves with his innovative products of cannabis and other products as well with his venture called “La Fav Farms”.

The company can be called a market leader with cannabis products that serve as the best experience to all its customers. Allen who started this firm along with his partner initially began on a small scale and they realized that it reached exponential growth; they decided to initiate their firm in 2016 surrounding on the notion of lifestyle and offering three important aspects of weed, music and fashion.

In order to offer products that lead to a better lifestyle for his customers, Allen turned into a lifestyle entrepreneur with his cannabis firm and since then has never looked back. However, since every success story comes along with a lot many struggles of life, Allen too started very early as a teenager at 14 years of age intending to become a businessman. With this, he started facing many challenges and even overcome all of them with his never-give-up attitude and his hard work. He started with buying and selling phones on eBay and also ran recycling stores in over 20 locations. This business of his saw great growth and this gave him the courage to go all-in as an entrepreneur in the cannabis industry after knowing its potential.

Today, La Fav Farms is considered to be the best cannabis brand that offers the superior most quality products and gives the best weed in the entire of Los Angeles. The products they offer come in different varieties like Cookie Jam, Yoda, Pink Cookies, etc.

Allen even expanded his business into a clothing line and now offers merchandise with their customer’s favourite strains on it. The way Allen and his company are growing, they are inspiring many other budding entrepreneurs and their firms to follow the same path to success.

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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