Business
Why Finding and Living Your Legacy Matters According to Sarah Gibbons

Leaving her successful executive life of over a decade to run and manage her leadership and corporate coaching business.
A loving and caring wife, mother of three young boys, and an active philanthropist, Sarah Gibbons is a leading success coach who left all of her seemingly perfect career in the tech-business industry to fill a void she felt deep down. Despite her numerous success and accomplishments in over a decade of pioneering tech businesses in North America and Europe, Sarah still felt the lack of contentment and a drive and hunger for a different kind of fulfillment.
Upon returning to the US from London, Sarah Gibbons earned her Master in Psychology while raising her three young boys with her youngest only under 5 years old at the time. Then, she later established and built her own coaching business Sarah Gibbons & Co. which is based in Los Angeles. Sarah works with clients virtually around the globe including top-level Executives, Founders, and industry-leading Entrepreneurs in the Tech, Film, and Creative Arts Industries for both established public companies and growing and innovative brands. Sarah’s coaching concepts and techniques are designed for individual executives and teams who want to lead and live from a place of presence, purpose, and power to exponentially grow professionally without sacrificing their personal lives.
Before starting her business, Sarah Gibbons drove results for brands including Amazon.com, IMDb (an Amazon company), Fox Interactive Media, and Rotten Tomatoes. Sarah advanced to lead teams globally and consistently leading team members to surpass goals and deliver sales growth. Still, Sarah wanted more. She wanted to help others achieve their full potential because it’s what gets her more excited than anything. She knew that was HER legacy.
As an Executive Success Coach, Sarah is very passionate about helping powerful leaders live their legacy today. She does this through her group and 1-on-1 coaching, the annual Tidal Summit, and four proprietary corporate programs known as “The Boards”. The latest Board launching at the end of April 2021, The Circuit Board, is created for the busy professional who’s seeking reconnection and effective leadership tools after a year of this pandemic. It’s the most cost-effective, time-conscious, and results-driven leadership program that Sarah has created yet.
Also, Sarah Gibbons & Co is focusing on helping leaders grow exponentially and experience their infinite potential. Her clients have grown their income and revenue as much as three times, landed better projects, launched new businesses, and achieved greater satisfaction in their professional and personal lives because of her coaching programs. All of these were because of her bold risk in investing six figures for her training and incorporating her corporate background with her extensive professional development. This dauntless yet smart move helped Sarah develop a vast array of coaching tools that help her groups, 1-on-1 clients, and workshop participants experience powerful insights and often dramatic transformation that are leading them towards building and living their legacies.
Sarah Gibbons can now finally say that she has indeed made the right decision in leaving her career and starting her own business. After years of tenacious and passionate effort, having her first full year as an entrepreneur/business owner, Sarah earned more money than she ever did while working for someone else.
Business
MetaWorx: Building Full-Stack AI Teams, Not Just Automation

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:
- An infrastructure architect to tame compute costs.
- A data engineer to secure and shape pipelines.
- An applied scientist to prototype models against live feedback loops.
- An MLOps engineer to automate rollback and retraining.
- A domain product lead translates forecasts into features users actually notice.
- 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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