Zero-Training AI™ Demos
My name is William Sergio and this website features some of the breakthroughs in Artificial Intelligence I developed.
My work in AI has been featured in more than 100 publication including in a full-page in People Magazine.
I am listed in Marquis Who’s Who in America and Who’s Who in Advertising.
Many years ago I developed a new form of AI that I call Zero-Training AI™, a physics-inspired revolutionary
AI framework that maps decisions across a constrained state space. Using defined variables, objectives,
boundary conditions, and optimization surfaces, it derives BEST decisions without any training datasets. All examples are original
and engineered to showcase real-world applications of Zero-Training AI™ that requires NO data
and NO training to deliver real-time judgment, compounding decisions, and mathematically stable outputs.
Any personal investments I may hold are passive investments—such as bank savings accounts, certificates of deposit,
retirement accounts, mutual funds, index funds, ETFs, stocks, bonds, Treasury securities, or dividends—and do not
involve operating a company or working a second job.
Ai Rubik's Cube Solver
Analyzes every possible Rubik’s Cube move and selects the MINIMUM sequence to transform a scrambled cube into six perfectly matched faces. This is what my Zero-Training AI™ can do!
Try Rubik's Cube Solver
Let's Go To Mars!
A spacecraft departs Earth for Mars under real constraints. Adjust thrust limits, fuel, time-of-flight, gravity strength, perturbations, and goal tolerance and watch trajectory re-compute instantly.
Let's Go to Mars
Budget Allocator
Automatically allocate a starting budget across hundreds of meda buys for Half Hours of television time for infomercials to maximize overall NET PROFIT. This is Real Media Buying that makes serious money!
Try Budget Allocator
Drone Hover Stabilizer
A small quad-drone icon tries to remain level. You press buttons like Wind Gust, Tilt, and Disturbance, and the drone re-stabilizes instantly. Visual scaling represents relative control energy, not physical motion.
Try Drone Hover
Flipper Market Allocator
Paste a list of 2 items + prices + fees. Zero-Training AI™ outputs a buy/hold/sell allocation under hard constraints: budget, max-per-item exposure, minimum liquidity, and fee-adjusted profit targets.
Try Flipper Allocator
LLM Hallucination Eliminator
User types a prompt. Model outputs 5 candidate sentences. Zero-Training AI™ filters them and highlights the “safe, consistent, non-hallucinated” one.
Try LLM Token Governor
Robot Arm Balancer
A simple animated 2-joint “robot arm” tries to hold a target point. When user moves the target, the arm smoothly finds a stable configuration. No “machine learning”—just pure real-time control.
Try Robot Arm Balancer
The Right Decision Can Expire
Bill Sergio's Uses ΔT and His Zero-Training AI™ to Detect Future Paths That Will Become Irreversible Before You Cross Their Point of No Return.
Advanced Physics